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CVPR2026_Human3Diffusion_Paper_Submission.zip +e173b6456285ca56370b3e95327c018f4dd842815f90695888c8a93f9d3343c2 RECOVERY_MANIFEST_20260901.md diff --git a/archives/human3diffusion_cvpr2026_20260901/manifests/HF_UPLOAD_SCOPE_20260901.md b/archives/human3diffusion_cvpr2026_20260901/manifests/HF_UPLOAD_SCOPE_20260901.md new file mode 100644 index 0000000000000000000000000000000000000000..2f72820cea19ff05fc1a675fa142c6f0c915bf55 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/manifests/HF_UPLOAD_SCOPE_20260901.md @@ -0,0 +1,26 @@ +# Human3Diffusion++ HF archive scope, 2026-09-01 + +## New immutable archive + +Repository: `linxin02/human` (dataset repository) + +Prefix: `archives/human3diffusion_cvpr2026_20260901/` + +The prefix contains the complete CVPR 2026 LaTeX project, main and supplementary PDFs, all paper figures and source panels, deterministic figure scripts, the clean submission ZIP, the host recovery manifest, the paper SHA-256 list, the existing-HF asset inventory, and the upload/verification scripts. + +## Existing assets verified in place + +The machine-readable inventory records all 56 experiment roots and 3,560 related files totaling 25,732,538,315 bytes. The following deployment-critical files were force-downloaded from HF and passed complete SHA-256 verification: + +- selected v14 e280: `eb5632bc0bb76b29fa753d13d20b68bf47d9bd0ff2446fe1d32db1fb48a146b4` +- v126 e282 pose core: `4c5b224815bde6648d5268cb35d43d8ef0faf1e47290d1b58e3c107883d4543e` +- v127 e283 balanced adapter: `fbaf358446e343cdfea92672cc0a992dd017ff5f649135a86ffabd11702ea079` +- v127 e284 pixel-first adapter: `c15241a2e589d89c5eafc861b57cc2a2e7b02977d6921acd508eff204a6256e9` + +The inventory also covers the restored code and documentation packages, same-pose and external benchmark artifacts, GIGA/GHGS comparisons, and the repository-level RealHumans archive. + +## Third-party/raw-data boundary + +Private/raw MVHumanNet++, SynBody, and SHERF RenderPeople image roots were not present on the recovered host or in the HF repository, so they cannot be newly archived from this workspace. Their split contracts, metrics, logs, fitted legal body parameters, code, checkpoints, and visualizations are preserved. The LHM++ repository and public prior remain third-party dependencies referenced by their official source rather than duplicated into this paper archive. + +No credential or Hugging Face token is included in any archive file or log. diff --git a/archives/human3diffusion_cvpr2026_20260901/manifests/RECOVERY_MANIFEST_20260901.md b/archives/human3diffusion_cvpr2026_20260901/manifests/RECOVERY_MANIFEST_20260901.md new file mode 100644 index 0000000000000000000000000000000000000000..67297404ff187b79318cc15bd1008f0f30054f34 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/manifests/RECOVERY_MANIFEST_20260901.md @@ -0,0 +1,42 @@ +# Human3Diffusion recovery manifest, 2026-09-01 + +## Restored host + +- SSH host: `pluto-prod-xinlin-ce4-2-0` +- Canonical root: `/mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/lx_human` +- Canonical repository: `Human3Diffusion_diffsplat_direct14_dit_v1` +- Python environment: `/mnt/localssd/mori-venv` + +## Verified checkpoints + +| Model | Bytes | Keys | SHA-256 | +|---|---:|---:|---| +| selected v14 e280 | 1,742,808,948 | 752 | `eb5632bc0bb76b29fa753d13d20b68bf47d9bd0ff2446fe1d32db1fb48a146b4` | +| v126 e282 pose core | 1,742,808,924 | 752 | `4c5b224815bde6648d5268cb35d43d8ef0faf1e47290d1b58e3c107883d4543e` | +| v127 e283 balanced | 14,880,228 | 139 | `fbaf358446e343cdfea92672cc0a992dd017ff5f649135a86ffabd11702ea079` | +| v127 e284 pixel-first | 14,880,228 | 139 | `c15241a2e589d89c5eafc861b57cc2a2e7b02977d6921acd508eff204a6256e9` | + +All files passed full byte-stream SHA-256, safetensors key-count, and finite-load checks. + +## Restored code and tests + +- Main 2026-08-26 source package restored and overlaid with v126/v127 final code. +- Historical source archive restored separately. +- v126/v127 imports pass. +- Focused suites pass: `16 passed` for the relative-LBS and occlusion-completion tests. +- PyTorch3D and the Gaussian rasterizer were rebuilt in the restored environment. +- The canonical repository now links its `LHM` module and `pretrained_models` paths to the verified read-only assets under `references/LHM_assets`. +- Final host smoke sees all eight NVIDIA A100-SXM4-40GB GPUs and passes the same `16/16` focused tests after importing the custom rasterizer, PyTorch3D, v126, and v127. + +## Restored results and assets + +- v126 package: 264 files, 3,560,865,711 bytes. +- v127 package: 197 files, 119,467,342 bytes. +- Same-pose and external GIGA/GHGS packages: 523 files restored. +- RealHumans archive extracted under `datasets/RealHumans` (about 19 GB). +- LHM++ official repository and human-prior package restored under `references/LHM_assets`. +- Final experiment journal restored as `RECENT_EFFECTIVE_IMPROVEMENTS_20260822.md`. + +## Raw-data limitation + +The private/raw MVHumanNet++, SynBody, and SHERF RenderPeople image roots were not uploaded to the Hugging Face repository. Their code, fixed split contracts, metrics, logs, visualizations, fitted legal body parameters, and selected checkpoints are restored, but a full rerun requiring raw images needs those original storage roots to be remounted or re-downloaded under their licenses. No raw third-party data are embedded in the paper folder. diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/.github/workflows/latex-build.yml b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/.github/workflows/latex-build.yml new file mode 100644 index 0000000000000000000000000000000000000000..b6993e50d93aa920d75f65bb4d5002a805a866b3 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/.github/workflows/latex-build.yml @@ -0,0 +1,39 @@ +name: LaTeX Build + +on: + push: + branches: [ main ] + pull_request: + branches: [ main ] + +jobs: + build: + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v4 + + - name: Compile LaTeX document + uses: xu-cheng/latex-action@v3 + with: + root_file: main.tex + + - name: Check for LaTeX errors and warnings + run: | + if grep -q "^!" main.log; then + echo "LaTeX errors found:" + grep "^!" main.log + exit 1 + elif grep -q "Warning:" main.log; then + echo "LaTeX warnings found:" + grep "Warning:" main.log + echo "Build completed with warnings." + else + echo "LaTeX build completed successfully without errors or warnings." + fi + + - name: Upload PDF + uses: actions/upload-artifact@v4 + with: + name: main.pdf + path: main.pdf \ No newline at end of file diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/.gitignore b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..07662b81c4c0f45031bc566b79b8f25a6bae6788 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/.gitignore @@ -0,0 +1,13 @@ +*.aux +*.bak +*.bbl +*.blg +*.brf +*.log +*.out +*.fls +*.synctex.gz +*.fdb_latexmk +*.pdf +.gitignore +.DS_Store diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/README.md b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/README.md new file mode 100644 index 0000000000000000000000000000000000000000..d418cba81b86cb209e702b02a90e1625927cbed3 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/README.md @@ -0,0 +1,36 @@ +# Human3Diffusion++ CVPR 2026 paper + +This folder is based on `author-kit-CVPR2026-v1-latex-.zip` and contains the complete anonymous main paper, supplementary material, figures, tables, and bibliography. + +## Build + +The verified local build uses Tectonic: + +```bash +tectonic main.tex +tectonic supplementary.tex +``` + +The final generated files are `main.pdf` and `supplementary.pdf`. The submission is currently configured with `\usepackage[review]{cvpr}` and paper ID `0000`; replace the ID and author block when submission metadata are available. + +## Selected model naming + +- Same-pose paper model: selected v14 e280; the training-free v18.1 face router is reported only as a small optional local ablation. +- Controllable-pose core: v126 e282. +- Default target-pose completion: v127 e283 balanced. +- Optional pixel-first target-pose completion: v127 e284, disclosed separately because LPIPS regresses. + +## Important reporting constraints + +- Old SHERF RenderPeople v1-v12 coordinate-adapter metrics are withdrawn and must not be used. +- The reported external row is the source-only no-scale v20/v21 diagnostic and is not a strict paper SOTA claim because H3D passes its coordinate gate on 22/30 identities. +- Same-pose competitor checkpoints have different training exposure and native input counts; the paper discloses them. +- Rejected v22-v125 candidates are never used as model initialization. Representative failures appear only in the supplementary diagnosis table. + +## Figures + +`scripts/make_paper_figures.py` deterministically derives the compact paper figures from the audited panels in `figures/source/`. + +## Recovery record + +`RECOVERY_MANIFEST_20260901.md` records the restored host, exact checkpoint hashes, code/test status, external assets, and the raw-data remount limitation. It is included for reproducibility and is not part of the paper submission PDF. diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/RECOVERY_MANIFEST_20260901.md b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/RECOVERY_MANIFEST_20260901.md new file mode 100644 index 0000000000000000000000000000000000000000..67297404ff187b79318cc15bd1008f0f30054f34 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/RECOVERY_MANIFEST_20260901.md @@ -0,0 +1,42 @@ +# Human3Diffusion recovery manifest, 2026-09-01 + +## Restored host + +- SSH host: `pluto-prod-xinlin-ce4-2-0` +- Canonical root: `/mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/lx_human` +- Canonical repository: `Human3Diffusion_diffsplat_direct14_dit_v1` +- Python environment: `/mnt/localssd/mori-venv` + +## Verified checkpoints + +| Model | Bytes | Keys | SHA-256 | +|---|---:|---:|---| +| selected v14 e280 | 1,742,808,948 | 752 | `eb5632bc0bb76b29fa753d13d20b68bf47d9bd0ff2446fe1d32db1fb48a146b4` | +| v126 e282 pose core | 1,742,808,924 | 752 | `4c5b224815bde6648d5268cb35d43d8ef0faf1e47290d1b58e3c107883d4543e` | +| v127 e283 balanced | 14,880,228 | 139 | `fbaf358446e343cdfea92672cc0a992dd017ff5f649135a86ffabd11702ea079` | +| v127 e284 pixel-first | 14,880,228 | 139 | `c15241a2e589d89c5eafc861b57cc2a2e7b02977d6921acd508eff204a6256e9` | + +All files passed full byte-stream SHA-256, safetensors key-count, and finite-load checks. + +## Restored code and tests + +- Main 2026-08-26 source package restored and overlaid with v126/v127 final code. +- Historical source archive restored separately. +- v126/v127 imports pass. +- Focused suites pass: `16 passed` for the relative-LBS and occlusion-completion tests. +- PyTorch3D and the Gaussian rasterizer were rebuilt in the restored environment. +- The canonical repository now links its `LHM` module and `pretrained_models` paths to the verified read-only assets under `references/LHM_assets`. +- Final host smoke sees all eight NVIDIA A100-SXM4-40GB GPUs and passes the same `16/16` focused tests after importing the custom rasterizer, PyTorch3D, v126, and v127. + +## Restored results and assets + +- v126 package: 264 files, 3,560,865,711 bytes. +- v127 package: 197 files, 119,467,342 bytes. +- Same-pose and external GIGA/GHGS packages: 523 files restored. +- RealHumans archive extracted under `datasets/RealHumans` (about 19 GB). +- LHM++ official repository and human-prior package restored under `references/LHM_assets`. +- Final experiment journal restored as `RECENT_EFFECTIVE_IMPROVEMENTS_20260822.md`. + +## Raw-data limitation + +The private/raw MVHumanNet++, SynBody, and SHERF RenderPeople image roots were not uploaded to the Hugging Face repository. Their code, fixed split contracts, metrics, logs, visualizations, fitted legal body parameters, and selected checkpoints are restored, but a full rerun requiring raw images needs those original storage roots to be remounted or re-downloaded under their licenses. No raw third-party data are embedded in the paper folder. diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/build_main.log b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/build_main.log new file mode 100644 index 0000000000000000000000000000000000000000..37b5b989ae6190a1f9c69c4bfa9a3fe25658b5ea --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/build_main.log @@ -0,0 +1,15 @@ +note: Running TeX ... +warning: lineno.sty:296: Invalid UTF-8 byte or sequence at line 296 replaced by U+FFFD. +note: Running BibTeX on main.aux ... +note: Rerunning TeX because bibtex was run ... +warning: lineno.sty:296: Invalid UTF-8 byte or sequence at line 296 replaced by U+FFFD. +note: Rerunning TeX because "main.aux" changed ... +warning: lineno.sty:296: Invalid UTF-8 byte or sequence at line 296 replaced by U+FFFD. +note: Rerunning TeX because "main.aux" changed ... +warning: lineno.sty:296: Invalid UTF-8 byte or sequence at line 296 replaced by U+FFFD. +note: Rerunning TeX because "main.aux" changed ... +warning: lineno.sty:296: Invalid UTF-8 byte or sequence at line 296 replaced by U+FFFD. +warning: warnings were issued by the TeX engine; use --print and/or --keep-logs for details. +note: Running xdvipdfmx ... +note: Writing `main.pdf` (1.3972892761230469 MiB) +note: Skipped writing 4 intermediate files (use --keep-intermediates to keep them) diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/build_supplementary.log b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/build_supplementary.log new file mode 100644 index 0000000000000000000000000000000000000000..87ea84533fc4015a49015e7eff9c3f0f82ace3e3 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/build_supplementary.log @@ -0,0 +1,13 @@ +note: Running TeX ... +warning: lineno.sty:296: Invalid UTF-8 byte or sequence at line 296 replaced by U+FFFD. +note: Running BibTeX on supplementary.aux ... +note: Rerunning TeX because bibtex was run ... +warning: lineno.sty:296: Invalid UTF-8 byte or sequence at line 296 replaced by U+FFFD. +note: Rerunning TeX because "supplementary.aux" changed ... +warning: lineno.sty:296: Invalid UTF-8 byte or sequence at line 296 replaced by U+FFFD. +note: Rerunning TeX because "supplementary.brf" changed ... +warning: lineno.sty:296: Invalid UTF-8 byte or sequence at line 296 replaced by U+FFFD. +warning: warnings were issued by the TeX engine; use --print and/or --keep-logs for details. +note: Running xdvipdfmx ... +note: Writing `supplementary.pdf` (2.137852668762207 MiB) +note: Skipped writing 4 intermediate files (use --keep-intermediates to keep them) diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/cvpr.sty b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/cvpr.sty new file mode 100644 index 0000000000000000000000000000000000000000..6ce0bd812c7528ac2eb0859a4584e96049543ec4 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/cvpr.sty @@ -0,0 +1,508 @@ +% --------------------------------------------------------------- +% +% No guarantee is given that the format corresponds perfectly to +% IEEE 8.5" x 11" Proceedings, but most features should be ok. +% +% --------------------------------------------------------------- +% with LaTeX2e: +% ============= +% +% use as +% \documentclass[times,10pt,twocolumn]{article} +% \usepackage[options]{cvpr} +% \usepackage{times} +% +% "options" should be replaced by +% * "review" for submitting a paper for review, +% * "final" for the camera ready, and +% * "rebuttal" for the author rebuttal. +% +% specify references as +% {\small +% \bibliographystyle{ieee} +% \bibliography{...your files...} +% } +% --------------------------------------------------------------- + +\NeedsTeXFormat{LaTeX2e}[1999/12/01] +\ProvidesPackage{cvpr}[2026 LaTeX class for IEEE CVPR] + +\RequirePackage{times} % Integrate Times for here +\RequirePackage{xspace} +\RequirePackage[dvipsnames]{xcolor} +\RequirePackage{graphicx} +\RequirePackage{amsmath} +\RequirePackage{amssymb} +\RequirePackage{booktabs} +\RequirePackage[numbers,sort&compress]{natbib} +\setlength{\bibsep}{1pt plus 1pt minus 1pt} + +\RequirePackage{silence} % Suppress unwanted warnings +\hbadness=10000 \vbadness=10000 \vfuzz=30pt \hfuzz=30pt +\WarningFilter{latexfont}{Font shape declaration} +\WarningFilter{latex}{Font shape} +\WarningFilter[rebuttal]{latex}{No \author given} +\RequirePackage{etoolbox} + +% Use modern caption package to allow for sub-figures etc. +% Reproduces the original CVPR/ICCV style as closely as possible. +\RequirePackage[format=plain,labelformat=simple,labelsep=period,font=small,compatibility=false]{caption} +\RequirePackage[font=footnotesize,skip=3pt,subrefformat=parens]{subcaption} + + +\newtoggle{cvprfinal} % Camera-ready version +\newtoggle{cvprrebuttal} % Rebuttal +\newtoggle{cvprpagenumbers} % Force page numbers (in camera ready) +\toggletrue{cvprfinal} +\togglefalse{cvprrebuttal} +\togglefalse{cvprpagenumbers} +\DeclareOption{review}{\togglefalse{cvprfinal}\toggletrue{cvprpagenumbers}} +\DeclareOption{rebuttal}{\togglefalse{cvprfinal}\toggletrue{cvprrebuttal}} +\DeclareOption{pagenumbers}{\toggletrue{cvprpagenumbers}} +\DeclareOption*{\PackageWarning{cvpr}{Unkown option `\CurrentOption'}} +\ProcessOptions\relax + +% Don't warn about missing author for rebuttal +\iftoggle{cvprrebuttal}{% + \ActivateWarningFilters[rebuttal] +}{} + +% Breaking lines for URLs in the bib +\RequirePackage[hyphens]{url} +\Urlmuskip=0mu plus 1mu\relax + + +% --------------------------------------------------------------- +% Inlined version of the obsolete "everyshi-2001-05-15" package. +\newcommand{\@EveryShipout@Hook}{} +\newcommand{\@EveryShipout@AtNextHook}{} +\newcommand*{\EveryShipout}[1] + {\g@addto@macro\@EveryShipout@Hook{#1}} +\newcommand*{\AtNextShipout}[1] + {\g@addto@macro\@EveryShipout@AtNextHook{#1}} +\newcommand{\@EveryShipout@Shipout}{% + \afterassignment\@EveryShipout@Test + \global\setbox\@cclv= % + } +\newcommand{\@EveryShipout@Test}{% + \ifvoid\@cclv\relax + \aftergroup\@EveryShipout@Output + \else + \@EveryShipout@Output + \fi% + } +\newcommand{\@EveryShipout@Output}{% + \@EveryShipout@Hook% + \@EveryShipout@AtNextHook% + \gdef\@EveryShipout@AtNextHook{}% + \@EveryShipout@Org@Shipout\box\@cclv% + } +\newcommand{\@EveryShipout@Org@Shipout}{} +\newcommand*{\@EveryShipout@Init}{% + \message{ABD: EveryShipout initializing macros}% + \let\@EveryShipout@Org@Shipout\shipout + \let\shipout\@EveryShipout@Shipout + } +\AtBeginDocument{\@EveryShipout@Init} +% --------------------------------------------------------------- + + +% --------------------------------------------------------------- +% Inlined simplified version of the "eso-pic" package. +\newcommand\LenToUnit[1]{#1\@gobble} +\newcommand\AtPageUpperLeft[1]{% + \begingroup + \@tempdima=0pt\relax\@tempdimb=\ESO@yoffsetI\relax + \put(\LenToUnit{\@tempdima},\LenToUnit{\@tempdimb}){#1}% + \endgroup +} +\newcommand\AtPageLowerLeft[1]{\AtPageUpperLeft{% + \put(0,\LenToUnit{-\paperheight}){#1}}} +\newcommand\AtPageCenter[1]{\AtPageUpperLeft{% + \put(\LenToUnit{.5\paperwidth},\LenToUnit{-.5\paperheight}){#1}}% +} +\newcommand\AtTextUpperLeft[1]{% + \begingroup + \setlength\@tempdima{1in}% + \ifodd\c@page% + \advance\@tempdima\oddsidemargin% + \else% + \advance\@tempdima\evensidemargin% + \fi% + \@tempdimb=\ESO@yoffsetI\relax\advance\@tempdimb-1in\relax% + \advance\@tempdimb-\topmargin% + \advance\@tempdimb-\headheight\advance\@tempdimb-\headsep% + \put(\LenToUnit{\@tempdima},\LenToUnit{\@tempdimb}){#1}% + \endgroup +} +\newcommand\AtTextLowerLeft[1]{\AtTextUpperLeft{% + \put(0,\LenToUnit{-\textheight}){#1}}} +\newcommand\AtTextCenter[1]{\AtTextUpperLeft{% + \put(\LenToUnit{.5\textwidth},\LenToUnit{-.5\textheight}){#1}}} +\newcommand{\ESO@HookI}{} \newcommand{\ESO@HookII}{} +\newcommand{\ESO@HookIII}{} +\newcommand{\AddToShipoutPicture}{% + \@ifstar{\g@addto@macro\ESO@HookII}{\g@addto@macro\ESO@HookI}} +\newcommand{\ClearShipoutPicture}{\global\let\ESO@HookI\@empty} +\newcommand\ESO@isMEMOIR[1]{} +\@ifclassloaded{memoir}{\renewcommand\ESO@isMEMOIR[1]{#1}}{} +\newcommand{\@ShipoutPicture}{% + \bgroup + \@tempswafalse% + \ifx\ESO@HookI\@empty\else\@tempswatrue\fi% + \ifx\ESO@HookII\@empty\else\@tempswatrue\fi% + \ifx\ESO@HookIII\@empty\else\@tempswatrue\fi% + \if@tempswa% + \@tempdima=1in\@tempdimb=-\@tempdima% + \advance\@tempdimb\ESO@yoffsetI% + \ESO@isMEMOIR{% + \advance\@tempdima\trimedge% + \advance\@tempdima\paperwidth% + \advance\@tempdima-\stockwidth% + \if@twoside\ifodd\c@page\else% + \advance\@tempdima-2\trimedge% + \advance\@tempdima-\paperwidth% + \advance\@tempdima\stockwidth% + \fi\fi% + \advance\@tempdimb\trimtop}% + \unitlength=1pt% + \global\setbox\@cclv\vbox{% + \vbox{\let\protect\relax + \pictur@(0,0)(\strip@pt\@tempdima,\strip@pt\@tempdimb)% + \ESO@HookIII\ESO@HookI\ESO@HookII% + \global\let\ESO@HookII\@empty% + \endpicture}% + \nointerlineskip% + \box\@cclv}% + \fi + \egroup +} +\EveryShipout{\@ShipoutPicture} +\RequirePackage{keyval} +\newif\ifESO@dvips\ESO@dvipsfalse +\newif\ifESO@texcoord\ESO@texcoordfalse + +\AtBeginDocument{% + \IfFileExists{color.sty} + {% + \RequirePackage{color} + \let\ESO@color=\color\let\ESO@colorbox=\colorbox + \let\ESO@fcolorbox=\fcolorbox + }{} + \@ifundefined{Gin@driver}{}% + {% + \ifx\Gin@driver\@empty\else% + \filename@parse{\Gin@driver}\def\reserved@a{dvips}% + \ifx\filename@base\reserved@a\ESO@dvipstrue\fi% + \fi + }% + \ifx\pdfoutput\undefined\else + \ifx\pdfoutput\relax\else + \ifcase\pdfoutput\else + \ESO@dvipsfalse% + \fi + \fi + \fi +} +\ifESO@texcoord + \def\ESO@yoffsetI{0pt}\def\ESO@yoffsetII{-\paperheight} +\else + \def\ESO@yoffsetI{\paperheight}\def\ESO@yoffsetII{0pt} +\fi +% --------------------------------------------------------------- + + +\typeout{CVPR 8.5 x 11-Inch Proceedings Style `cvpr.sty'.} + +% ten point helvetica bold required for captions +% eleven point times bold required for second-order headings +% in some sites the name of the fonts may differ, +% change the name here: +\font\cvprtenhv = phvb at 8pt % *** IF THIS FAILS, SEE cvpr.sty *** +\font\elvbf = ptmb scaled 1100 +\font\tenbf = ptmb scaled 1000 + +% If the above lines give an error message, try to comment them and +% uncomment these: +%\font\cvprtenhv = phvb7t at 8pt +%\font\elvbf = ptmb7t scaled 1100 +%\font\tenbf = ptmb7t scaled 1000 + +% set dimensions of columns, gap between columns, and paragraph indent +\setlength{\textheight}{8.875in} +\setlength{\textwidth}{6.875in} +\setlength{\columnsep}{0.3125in} +\setlength{\topmargin}{0in} +\setlength{\headheight}{0in} +\setlength{\headsep}{0in} +\setlength{\parindent}{1pc} +\setlength{\oddsidemargin}{-0.1875in} +\setlength{\evensidemargin}{-0.1875in} + + +% Suppress page numbers when the appropriate option is given +\iftoggle{cvprpagenumbers}{}{% + \pagestyle{empty} +} + +\AtBeginDocument{% + % Print an error if document class other than article is used + \@ifclassloaded{article}{}{% + \PackageError{cvpr}{Package only meant to be used with document class `article'}{Change document class to `article'.} + } + % Print a warning if incorrect options for article are specified + \@ifclasswith{article}{10pt}{}{% + \PackageWarningNoLine{cvpr}{Incorrect font size specified - CVPR requires 10-point fonts. Please load document class `article' with `10pt' option} + } + \@ifclasswith{article}{twocolumn}{}{% + \PackageWarningNoLine{cvpr}{Single column document - CVPR requires papers to have two-column layout. Please load document class `article' with `twocolumn' option} + } + \@ifclasswith{article}{letterpaper}{}{% + \PackageWarningNoLine{cvpr}{Incorrect paper size - CVPR uses paper size `letter'. Please load document class `article' with `letterpaper' option} + } + % Print a warning if hyperref is not loaded and/or if the pagebackref option is missing + \iftoggle{cvprfinal}{% + \@ifpackageloaded{hyperref}{}{% + \PackageWarningNoLine{cvpr}{Package `hyperref' is not loaded, but highly recommended for camera-ready version} + } + }{% + \@ifpackageloaded{hyperref}{ + \@ifpackagewith{hyperref}{pagebackref}{}{ + \PackageWarningNoLine{cvpr}{Package `hyperref' is not loaded with option `pagebackref', which is strongly recommended for review version} + } + }{% + \PackageWarningNoLine{cvpr}{Package `hyperref' is not loaded, but strongly recommended for review version} + } + } +} + +\def\@maketitle{ + \newpage + \null + \iftoggle{cvprrebuttal}{\vspace*{-.3in}}{\vskip .375in} + \begin{center} + % smaller title font only for rebuttal + \iftoggle{cvprrebuttal}{{\large \bf \@title \par}}{{\Large \bf \@title \par}} + % additional two empty lines at the end of the title + \iftoggle{cvprrebuttal}{\vspace*{-22pt}}{\vspace*{24pt}}{ + \large + \lineskip .5em + \begin{tabular}[t]{c} + \iftoggle{cvprfinal}{ + \@author + }{ + \iftoggle{cvprrebuttal}{}{ + Anonymous \confName~submission\\ + \vspace*{1pt}\\ + Paper ID \paperID + } + } + \end{tabular} + \par + } + % additional small space at the end of the author name + \vskip .5em + % additional empty line at the end of the title block + \vspace*{12pt} + \end{center} +} + +\def\abstract{% + % Suppress page numbers when the appropriate option is given + \iftoggle{cvprpagenumbers}{}{% + \thispagestyle{empty} + } + \centerline{\large\bf Abstract}% + \vspace*{12pt}\noindent% + \it\ignorespaces% +} + +\def\endabstract{% + % additional empty line at the end of the abstract + \vspace*{12pt} + } + +\def\affiliation#1{\gdef\@affiliation{#1}} \gdef\@affiliation{} + +% correct heading spacing and type +\def\cvprsection{\@startsection {section}{1}{\z@} + {-10pt plus -2pt minus -2pt}{7pt} {\large\bf}} +\def\cvprssect#1{\cvprsection*{#1}} +\def\cvprsect#1{\cvprsection{\texorpdfstring{\hskip -1em.~}{}#1}} +\def\section{\@ifstar\cvprssect\cvprsect} + +\def\cvprsubsection{\@startsection {subsection}{2}{\z@} + {-8pt plus -2pt minus -2pt}{5pt} {\elvbf}} +\def\cvprssubsect#1{\cvprsubsection*{#1}} +\def\cvprsubsect#1{\cvprsubsection{\texorpdfstring{\hskip -1em.~}{}#1}} +\def\subsection{\@ifstar\cvprssubsect\cvprsubsect} + +\def\cvprsubsubsection{\@startsection {subsubsection}{3}{\z@} + {-6pt plus -2pt minus -2pt}{3pt} {\tenbf}} +\def\cvprssubsubsect#1{\cvprsubsubsection*{#1}} +\def\cvprsubsubsect#1{\cvprsubsubsection{\texorpdfstring{\hskip -1em.~}{}#1}} +\def\subsubsection{\@ifstar\cvprssubsubsect\cvprsubsubsect} + +%% --------- Page background marks: Ruler and confidentiality (only for review and rebuttal) +\iftoggle{cvprfinal}{ + % In review and rebuttal mode, we use the "lineno" package for numbering lines. + % When switching to a different mode, the "\@LN" macro may remain in cached .aux files, + % leading to build errors (https://github.com/cvpr-org/author-kit/issues/49). + % Defining the macro as empty fixes that (https://tex.stackexchange.com/a/125779). + \makeatletter + \providecommand{\@LN}[2]{} + \makeatother +}{ + % ----- define vruler + \makeatletter + \newbox\cvprrulerbox + \newcount\cvprrulercount + \newdimen\cvprruleroffset + \newdimen\cv@lineheight + \newdimen\cv@boxheight + \newbox\cv@tmpbox + \newcount\cv@refno + \newcount\cv@tot + % NUMBER with left flushed zeros \fillzeros[] + \newcount\cv@tmpc@ \newcount\cv@tmpc + \def\fillzeros[#1]#2{\cv@tmpc@=#2\relax\ifnum\cv@tmpc@<0\cv@tmpc@=-\cv@tmpc@\fi + \cv@tmpc=1 % + \loop\ifnum\cv@tmpc@<10 \else \divide\cv@tmpc@ by 10 \advance\cv@tmpc by 1 \fi + \ifnum\cv@tmpc@=10\relax\cv@tmpc@=11\relax\fi \ifnum\cv@tmpc@>10 \repeat + \ifnum#2<0\advance\cv@tmpc1\relax-\fi + \loop\ifnum\cv@tmpc<#1\relax0\advance\cv@tmpc1\relax\fi \ifnum\cv@tmpc<#1 \repeat + \cv@tmpc@=#2\relax\ifnum\cv@tmpc@<0\cv@tmpc@=-\cv@tmpc@\fi \relax\the\cv@tmpc@}% + \makeatother + % ----- end of vruler + + %% Define linenumber setup + \RequirePackage[switch,mathlines]{lineno} + + % Line numbers in CVPR blue using font from \cvprtenhv + \renewcommand\linenumberfont{\cvprtenhv\color[rgb]{.5,.5,1}} + + \renewcommand\thelinenumber{\fillzeros[3]{\arabic{linenumber}}} + + \setlength{\linenumbersep}{.75cm} + + % Bug: An equation with $$ ... $$ isn't numbered, nor is the previous line. + + % Patch amsmath commands so that the previous line and the equation itself + % are numbered. Bug: multiline has an extra line number. + % https://tex.stackexchange.com/questions/461186/how-to-use-lineno-with-amsmath-align + \RequirePackage{etoolbox} %% <- for \pretocmd, \apptocmd and \patchcmd + + \newcommand*\linenomathpatch[1]{% + \expandafter\pretocmd\csname #1\endcsname {\linenomath}{}{}% + \expandafter\pretocmd\csname #1*\endcsname {\linenomath}{}{}% + \expandafter\apptocmd\csname end#1\endcsname {\endlinenomath}{}{}% + \expandafter\apptocmd\csname end#1*\endcsname {\endlinenomath}{}{}% + } + \newcommand*\linenomathpatchAMS[1]{% + \expandafter\pretocmd\csname #1\endcsname {\linenomathAMS}{}{}% + \expandafter\pretocmd\csname #1*\endcsname {\linenomathAMS}{}{}% + \expandafter\apptocmd\csname end#1\endcsname {\endlinenomath}{}{}% + \expandafter\apptocmd\csname end#1*\endcsname {\endlinenomath}{}{}% + } + + %% Definition of \linenomathAMS depends on whether the mathlines option is provided + \expandafter\ifx\linenomath\linenomathWithnumbers + \let\linenomathAMS\linenomathWithnumbers + %% The following line gets rid of an extra line numbers at the bottom: + \patchcmd\linenomathAMS{\advance\postdisplaypenalty\linenopenalty}{}{}{} + \else + \let\linenomathAMS\linenomathNonumbers + \fi + + % Add the numbers + \linenumbers + \AtBeginDocument{% + \linenomathpatch{equation}% + \linenomathpatchAMS{gather}% + \linenomathpatchAMS{multline}% + \linenomathpatchAMS{align}% + \linenomathpatchAMS{alignat}% + \linenomathpatchAMS{flalign}% + } + + % \makevruler[][][][][] + \def\cvprruler#1{\makevruler[12pt][#1][1][3][0.993\textheight]\usebox{\cvprrulerbox}} + \AddToShipoutPicture{% + \color[rgb]{.5,.5,1} + + \def\pid{\parbox{1in}{\begin{center}\bf\sf{\small \confName}\\\small \#\paperID\end{center}}} + \AtTextUpperLeft{%paperID in corners + \put(\LenToUnit{-65pt},\LenToUnit{45pt}){\pid} + \put(\LenToUnit{\textwidth-12pt},\LenToUnit{45pt}){\pid} + } + \AtTextUpperLeft{%confidential + \put(0,\LenToUnit{1cm}){\parbox{\textwidth}{\centering\cvprtenhv + \confName~\confYear~Submission \#\paperID. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.}} + } + } +} % end of not cvprfinal + +%%% Make figure placement a little more predictable. +% We trust the user to move figures if this results +% in ugliness. +% Minimize bad page breaks at figures +\renewcommand{\textfraction}{0.01} +\renewcommand{\floatpagefraction}{0.99} +\renewcommand{\topfraction}{0.99} +\renewcommand{\bottomfraction}{0.99} +\renewcommand{\dblfloatpagefraction}{0.99} +\renewcommand{\dbltopfraction}{0.99} +\setcounter{totalnumber}{99} +\setcounter{topnumber}{99} +\setcounter{bottomnumber}{99} + +% Add a period to the end of an abbreviation unless there's one +% already, then \xspace. +\makeatletter +\DeclareRobustCommand\onedot{\futurelet\@let@token\@onedot} +\def\@onedot{\ifx\@let@token.\else.\null\fi\xspace} + +\def\eg{\emph{e.g}\onedot} \def\Eg{\emph{E.g}\onedot} +\def\ie{\emph{i.e}\onedot} \def\Ie{\emph{I.e}\onedot} +\def\cf{\emph{cf}\onedot} \def\Cf{\emph{Cf}\onedot} +\def\etc{\emph{etc}\onedot} \def\vs{\emph{vs}\onedot} +\def\wrt{w.r.t\onedot} \def\dof{d.o.f\onedot} +\def\iid{i.i.d\onedot} \def\wolog{w.l.o.g\onedot} +\def\etal{\emph{et al}\onedot} +\makeatother + +% --------------------------------------------------------------- + +%% redefine the \title command so that a variable name is saved in \thetitle, and provides the \maketitlesupplementary command +\let\titleold\title +\renewcommand{\title}[1]{\titleold{#1}\newcommand{\thetitle}{#1}} +\def\maketitlesupplementary + { + \newpage + \twocolumn[ + \centering + \Large + \textbf{\thetitle}\\ + \vspace{0.5em}Supplementary Material \\ + \vspace{1.0em} + ] %< twocolumn + } + +% --------------------------------------------------------------- + +%% Support for easy cross-referencing (e.g. \cref{sec:intro} +% configured with \AtEndPreamble as it needs to be called after hyperref +\AtEndPreamble{ + \usepackage[capitalize]{cleveref} + \crefname{section}{Sec.}{Secs.} + \Crefname{section}{Section}{Sections} + \Crefname{table}{Table}{Tables} + 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0000000000000000000000000000000000000000..261b8c3ccb3fd5c07a88ffc4945c40909bdcf535 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/ieeenat_fullname.bst @@ -0,0 +1,1448 @@ +%% File: `abbrvnat.bst' +%% A modification of `abbrv.bst' for use with natbib package +%% +%% Copyright 1993-2007 Patrick W Daly +%% Max-Planck-Institut f\"ur Sonnensystemforschung +%% Max-Planck-Str. 2 +%% D-37191 Katlenburg-Lindau +%% Germany +%% E-mail: daly@mps.mpg.de +%% +%% This program can be redistributed and/or modified under the terms +%% of the LaTeX Project Public License Distributed from CTAN +%% archives in directory macros/latex/base/lppl.txt; either +%% version 1 of the License, or any later version. +%% + % Version and source file information: + % \ProvidesFile{natbst.mbs}[2007/11/26 1.93 (PWD)] + % + % BibTeX `plainnat' family + % version 0.99b for BibTeX versions 0.99a or later, + % for LaTeX versions 2.09 and 2e. + % + % For use with the `natbib.sty' package; emulates the corresponding + % member of the `plain' family, but with author-year citations. + % + % With version 6.0 of `natbib.sty', it may also be used for numerical + % citations, while retaining the commands \citeauthor, \citefullauthor, + % and \citeyear to print the corresponding information. + % + % For version 7.0 of `natbib.sty', the KEY field replaces missing + % authors/editors, and the date is left blank in \bibitem. + % + % Includes field EID for the sequence/citation number of electronic journals + % which is used instead of page numbers. + % + % Includes fields ISBN and ISSN. + % + % Includes field URL for Internet addresses. + % + % Includes field DOI for Digital Object Idenfifiers. + % + % Works best with the url.sty package of Donald Arseneau. + % + % Works with identical authors and year are further sorted by + % citation key, to preserve any natural sequence. + % +ENTRY + { address + author + booktitle + chapter + doi + eid + edition + editor + howpublished + institution + isbn + issn + journal + key + month + note + number + organization + pages + publisher + school + series + title + type + url + volume + year + } + {} + { label extra.label sort.label short.list } + +INTEGERS { output.state before.all mid.sentence after.sentence after.block } + +FUNCTION {init.state.consts} +{ #0 'before.all := + #1 'mid.sentence := + #2 'after.sentence := + #3 'after.block := +} + +STRINGS { s t } + +FUNCTION {output.nonnull} +{ 's := + output.state mid.sentence = + { ", " * write$ } + { output.state after.block = + { add.period$ write$ + newline$ + "\newblock " write$ + } + { output.state before.all = + 'write$ + { add.period$ " " * write$ } + if$ + } + if$ + mid.sentence 'output.state := + } + if$ + s +} + +FUNCTION {output} +{ duplicate$ empty$ + 'pop$ + 'output.nonnull + if$ +} + +FUNCTION {output.check} +{ 't := + duplicate$ empty$ + { pop$ "empty " t * " in " * cite$ * warning$ } + 'output.nonnull + if$ +} + +FUNCTION {fin.entry} +{ add.period$ + write$ + newline$ +} + +FUNCTION {new.block} +{ output.state before.all = + 'skip$ + { after.block 'output.state := } + if$ +} + +FUNCTION {new.sentence} +{ output.state after.block = + 'skip$ + { output.state before.all = + 'skip$ + { after.sentence 'output.state := } + if$ + } + if$ +} + +FUNCTION {not} +{ { #0 } + { #1 } + if$ +} + +FUNCTION {and} +{ 'skip$ + { pop$ #0 } + if$ +} + +FUNCTION {or} +{ { pop$ #1 } + 'skip$ + if$ +} + +FUNCTION {new.block.checka} +{ empty$ + 'skip$ + 'new.block + if$ +} + +FUNCTION {new.block.checkb} +{ empty$ + swap$ empty$ + and + 'skip$ + 'new.block + if$ +} + +FUNCTION {new.sentence.checka} +{ empty$ + 'skip$ + 'new.sentence + if$ +} + +FUNCTION {new.sentence.checkb} +{ empty$ + swap$ empty$ + and + 'skip$ + 'new.sentence + if$ +} + +FUNCTION {field.or.null} +{ duplicate$ empty$ + { pop$ "" } + 'skip$ + if$ +} + +FUNCTION {emphasize} +{ duplicate$ empty$ + { pop$ "" } + { "\emph{" swap$ * "}" * } + if$ +} + +INTEGERS { nameptr namesleft numnames } + +FUNCTION {format.names} +{ 's := + #1 'nameptr := + s num.names$ 'numnames := + numnames 'namesleft := + { namesleft #0 > } + % Formerly { s nameptr "{f.~}{vv~}{ll}{, jj}" format.name$ 't := + { s nameptr "{ff }{vv }{ll}{, jj}" format.name$ 't := + nameptr #1 > + { namesleft #1 > + { ", " * t * } + { numnames #2 > + { "," * } + 'skip$ + if$ + t "others" = + { " et~al." * } + { " and " * t * } + if$ + } + if$ + } + 't + if$ + nameptr #1 + 'nameptr := + namesleft #1 - 'namesleft := + } + while$ +} + +FUNCTION {format.key} +{ empty$ + { key field.or.null } + { "" } + if$ +} + +FUNCTION {format.authors} +{ author empty$ + { "" } + { author format.names } + if$ +} + +FUNCTION {format.editors} +{ editor empty$ + { "" } + { editor format.names + editor num.names$ #1 > + { ", editors" * } + { ", editor" * } + if$ + } + if$ +} + +FUNCTION {format.isbn} +{ isbn empty$ + { "" } +% { new.block "ISBN " isbn * } + { "" } + if$ +} + +FUNCTION {format.issn} +{ issn empty$ + { "" } +% { new.block "ISSN " issn * } + { "" } + if$ +} + +FUNCTION {format.url} +{ url empty$ + { "" } +% { new.block "URL \url{" url * "}" * } + { "" } + if$ +} + +FUNCTION {format.doi} +{ doi empty$ + { "" } +% { new.block "\doi{" doi * "}" * } + { "" } + if$ +} + +FUNCTION {format.title} +{ title empty$ + { "" } + { title "t" change.case$ } + if$ +} + +FUNCTION {format.full.names} +{'s := + #1 'nameptr := + s num.names$ 'numnames := + numnames 'namesleft := + { namesleft #0 > } + { s nameptr + "{vv~}{ll}" format.name$ 't := + nameptr #1 > + { + namesleft #1 > + { ", " * t * } + { + numnames #2 > + { "," * } + 'skip$ + if$ + t "others" = + { " et~al." * } + { " and " * t * } + if$ + } + if$ + } + 't + if$ + nameptr #1 + 'nameptr := + namesleft #1 - 'namesleft := + } + while$ +} + +FUNCTION {author.editor.full} +{ author empty$ + { editor empty$ + { "" } + { editor format.full.names } + if$ + } + { author format.full.names } + if$ +} + +FUNCTION {author.full} +{ author empty$ + { "" } + { author format.full.names } + if$ +} + +FUNCTION {editor.full} +{ editor empty$ + { "" } + { editor format.full.names } + if$ +} + +FUNCTION {make.full.names} +{ type$ "book" = + type$ "inbook" = + or + 'author.editor.full + { type$ "proceedings" = + 'editor.full + 'author.full + if$ + } + if$ +} + +FUNCTION {output.bibitem} +{ newline$ + "\bibitem[" write$ + label write$ + ")" make.full.names duplicate$ short.list = + { pop$ } + { * } + if$ + "]{" * write$ + cite$ write$ + "}" write$ + newline$ + "" + before.all 'output.state := +} + +FUNCTION {n.dashify} +{ 't := + "" + { t empty$ not } + { t #1 #1 substring$ "-" = + { t #1 #2 substring$ "--" = not + { "--" * + t #2 global.max$ substring$ 't := + } + { { t #1 #1 substring$ "-" = } + { "-" * + t #2 global.max$ substring$ 't := + } + while$ + } + if$ + } + { t #1 #1 substring$ * + t #2 global.max$ substring$ 't := + } + if$ + } + while$ +} + +FUNCTION {format.date} +{ year duplicate$ empty$ + { "empty year in " cite$ * warning$ + pop$ "" } + 'skip$ + if$ +%% CR: Leave out months. +% month empty$ +% 'skip$ +% { month +% " " * swap$ * +% } +% if$ + extra.label * +} + +FUNCTION {format.btitle} +{ title emphasize +} + +FUNCTION {tie.or.space.connect} +{ duplicate$ text.length$ #3 < + { "~" } + { " " } + if$ + swap$ * * +} + +FUNCTION {either.or.check} +{ empty$ + 'pop$ + { "can't use both " swap$ * " fields in " * cite$ * warning$ } + if$ +} + +FUNCTION {format.bvolume} +{ volume empty$ + { "" } +%% CR: Don't show "volume 1234 of LNCS" etc. +% { "volume" volume tie.or.space.connect +% series empty$ +% 'skip$ +% { " of " * series emphasize * } +% if$ +% "volume and number" number either.or.check +% } + { "" } + if$ +} + +FUNCTION {format.number.series} +{ volume empty$ + { number empty$ +%% CR: Leave out series information. +% { series field.or.null } + { "" } + { output.state mid.sentence = + { "number" } + { "Number" } + if$ + number tie.or.space.connect + series empty$ + { "there's a number but no series in " cite$ * warning$ } + { " in " * series * } + if$ + } + if$ + } + { "" } + if$ +} + +FUNCTION {format.edition} +{ edition empty$ + { "" } + { output.state mid.sentence = + { edition "l" change.case$ " edition" * } + { edition "t" change.case$ " edition" * } + if$ + } + if$ +} + +INTEGERS { multiresult } + +FUNCTION {multi.page.check} +{ 't := + #0 'multiresult := + { multiresult not + t empty$ not + and + } + { t #1 #1 substring$ + duplicate$ "-" = + swap$ duplicate$ "," = + swap$ "+" = + or or + { #1 'multiresult := } + { t #2 global.max$ substring$ 't := } + if$ + } + while$ + multiresult +} + +FUNCTION {format.pages} +{ pages empty$ + { "" } + { pages multi.page.check + { "pages" pages n.dashify tie.or.space.connect } + { "page" pages tie.or.space.connect } + if$ + } + if$ +} + +FUNCTION {format.eid} +{ eid empty$ + { "" } + { "art." eid tie.or.space.connect } + if$ +} + +FUNCTION {format.vol.num.pages} +{ volume field.or.null + number empty$ + 'skip$ + { "\penalty0 (" number * ")" * * + volume empty$ + { "there's a number but no volume in " cite$ * warning$ } + 'skip$ + if$ + } + if$ + pages empty$ + 'skip$ + { duplicate$ empty$ + { pop$ format.pages } + { ":\penalty0 " * pages n.dashify * } + if$ + } + if$ +} + +FUNCTION {format.vol.num.eid} +{ volume field.or.null + number empty$ + 'skip$ + { "\penalty0 (" number * ")" * * + volume empty$ + { "there's a number but no volume in " cite$ * warning$ } + 'skip$ + if$ + } + if$ + eid empty$ + 'skip$ + { duplicate$ empty$ + { pop$ format.eid } + { ":\penalty0 " * eid * } + if$ + } + if$ +} + +FUNCTION {format.chapter.pages} +{ chapter empty$ + 'format.pages + { type empty$ + { "chapter" } + { type "l" change.case$ } + if$ + chapter tie.or.space.connect + pages empty$ + 'skip$ + { ", " * format.pages * } + if$ + } + if$ +} + +FUNCTION {format.in.ed.booktitle} +{ booktitle empty$ + { "" } +%% CR: Leave out editors even if the information is available. +% { editor empty$ +% { "In " booktitle emphasize * } +% { "In " format.editors * ", " * booktitle emphasize * } +% if$ +% } + { "In " booktitle emphasize * } + if$ +} + +FUNCTION {empty.misc.check} +{ author empty$ title empty$ howpublished empty$ + month empty$ year empty$ note empty$ + and and and and and + key empty$ not and + { "all relevant fields are empty in " cite$ * warning$ } + 'skip$ + if$ +} + +FUNCTION {format.thesis.type} +{ type empty$ + 'skip$ + { pop$ + type "t" change.case$ + } + if$ +} + +FUNCTION {format.tr.number} +{ type empty$ + { "Technical Report" } + 'type + if$ + number empty$ + { "t" change.case$ } + { number tie.or.space.connect } + if$ +} + +FUNCTION {format.article.crossref} +{ key empty$ + { journal empty$ + { "need key or journal for " cite$ * " to crossref " * crossref * + warning$ + "" + } + { "In \emph{" journal * "}" * } + if$ + } + { "In " } + if$ + " \citet{" * crossref * "}" * +} + +FUNCTION {format.book.crossref} +{ volume empty$ + { "empty volume in " cite$ * "'s crossref of " * crossref * warning$ + "In " + } + { "Volume" volume tie.or.space.connect + " of " * + } + if$ + editor empty$ + editor field.or.null author field.or.null = + or + { key empty$ + { series empty$ + { "need editor, key, or series for " cite$ * " to crossref " * + crossref * warning$ + "" * + } + { "\emph{" * series * "}" * } + if$ + } + 'skip$ + if$ + } + 'skip$ + if$ + " \citet{" * crossref * "}" * +} + +FUNCTION {format.incoll.inproc.crossref} +{ editor empty$ + editor field.or.null author field.or.null = + or + { key empty$ + { booktitle empty$ + { "need editor, key, or booktitle for " cite$ * " to crossref " * + crossref * warning$ + "" + } + { "In \emph{" booktitle * "}" * } + if$ + } + { "In " } + if$ + } + { "In " } + if$ + " \citet{" * crossref * "}" * +} + +FUNCTION {article} +{ output.bibitem + format.authors "author" output.check + author format.key output + new.block + format.title "title" output.check + new.block + crossref missing$ + { journal emphasize "journal" output.check + eid empty$ + { format.vol.num.pages output } + { format.vol.num.eid output } + if$ + format.date "year" output.check + } + { format.article.crossref output.nonnull + eid empty$ + { format.pages output } + { format.eid output } + if$ + } + if$ + format.issn output + format.doi output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {book} +{ output.bibitem + author empty$ + { format.editors "author and editor" output.check + editor format.key output + } + { format.authors output.nonnull + crossref missing$ + { "author and editor" editor either.or.check } + 'skip$ + if$ + } + if$ + new.block + format.btitle "title" output.check + crossref missing$ + { format.bvolume output + new.block + format.number.series output + new.sentence + publisher "publisher" output.check + address output + } + { new.block + format.book.crossref output.nonnull + } + if$ + format.edition output + format.date "year" output.check + format.isbn output + format.doi output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {booklet} +{ output.bibitem + format.authors output + author format.key output + new.block + format.title "title" output.check + howpublished address new.block.checkb + howpublished output + address output + format.date output + format.isbn output + format.doi output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {inbook} +{ output.bibitem + author empty$ + { format.editors "author and editor" output.check + editor format.key output + } + { format.authors output.nonnull + crossref missing$ + { "author and editor" editor either.or.check } + 'skip$ + if$ + } + if$ + new.block + format.btitle "title" output.check + crossref missing$ + { format.bvolume output + format.chapter.pages "chapter and pages" output.check + new.block + format.number.series output + new.sentence + publisher "publisher" output.check + address output + } + { format.chapter.pages "chapter and pages" output.check + new.block + format.book.crossref output.nonnull + } + if$ + format.edition output + format.date "year" output.check + format.isbn output + format.doi output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {incollection} +{ output.bibitem + format.authors "author" output.check + author format.key output + new.block + format.title "title" output.check + new.block + crossref missing$ + { format.in.ed.booktitle "booktitle" output.check + format.bvolume output + format.number.series output + format.chapter.pages output + new.sentence + publisher "publisher" output.check + address output + format.edition output + format.date "year" output.check + } + { format.incoll.inproc.crossref output.nonnull + format.chapter.pages output + } + if$ + format.isbn output + format.doi output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {inproceedings} +{ output.bibitem + format.authors "author" output.check + author format.key output + new.block + format.title "title" output.check + new.block + crossref missing$ + { format.in.ed.booktitle "booktitle" output.check + format.bvolume output + format.number.series output + format.pages output + address empty$ + { organization publisher new.sentence.checkb + organization output + publisher output + format.date "year" output.check + } + { address output.nonnull + format.date "year" output.check + new.sentence + organization output + publisher output + } + if$ + } + { format.incoll.inproc.crossref output.nonnull + format.pages output + } + if$ + format.isbn output + format.doi output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {conference} { inproceedings } + +FUNCTION {manual} +{ output.bibitem + format.authors output + author format.key output + new.block + format.btitle "title" output.check + organization address new.block.checkb + organization output + address output + format.edition output + format.date output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {mastersthesis} +{ output.bibitem + format.authors "author" output.check + author format.key output + new.block + format.title "title" output.check + new.block + "Master's thesis" format.thesis.type output.nonnull + school "school" output.check + address output + format.date "year" output.check + format.url output + new.block + note output + fin.entry +} + +FUNCTION {misc} +{ output.bibitem + format.authors output + author format.key output + title howpublished new.block.checkb + format.title output + howpublished new.block.checka + howpublished output + format.date output + format.issn output + format.url output + new.block + note output + fin.entry + empty.misc.check +} + +FUNCTION {phdthesis} +{ output.bibitem + format.authors "author" output.check + author format.key output + new.block + format.btitle "title" output.check + new.block + "PhD thesis" format.thesis.type output.nonnull + school "school" output.check + address output + format.date "year" output.check + format.url output + new.block + note output + fin.entry +} + +FUNCTION {proceedings} +{ output.bibitem + format.editors output + editor format.key output + new.block + format.btitle "title" output.check + format.bvolume output + format.number.series output + address output + format.date "year" output.check + new.sentence + organization output + publisher output + format.isbn output + format.doi output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {techreport} +{ output.bibitem + format.authors "author" output.check + author format.key output + new.block + format.title "title" output.check + new.block + format.tr.number output.nonnull + institution "institution" output.check + address output + format.date "year" output.check + format.url output + new.block + note output + fin.entry +} + +FUNCTION {unpublished} +{ output.bibitem + format.authors "author" output.check + author format.key output + new.block + format.title "title" output.check + new.block + note "note" output.check + format.date output + format.url output + fin.entry +} + +FUNCTION {default.type} { misc } + + +MACRO {jan} {"Jan."} + +MACRO {feb} {"Feb."} + +MACRO {mar} {"Mar."} + +MACRO {apr} {"Apr."} + +MACRO {may} {"May"} + +MACRO {jun} {"June"} + +MACRO {jul} {"July"} + +MACRO {aug} {"Aug."} + +MACRO {sep} {"Sept."} + +MACRO {oct} {"Oct."} + +MACRO {nov} {"Nov."} + +MACRO {dec} {"Dec."} + + + +MACRO {acmcs} {"ACM Comput. Surv."} + +MACRO {acta} {"Acta Inf."} + +MACRO {cacm} {"Commun. ACM"} + +MACRO {ibmjrd} {"IBM J. Res. Dev."} + +MACRO {ibmsj} {"IBM Syst.~J."} + +MACRO {ieeese} {"IEEE Trans. Softw. Eng."} + +MACRO {ieeetc} {"IEEE Trans. Comput."} + +MACRO {ieeetcad} + {"IEEE Trans. Comput.-Aided Design Integrated Circuits"} + +MACRO {ipl} {"Inf. Process. Lett."} + +MACRO {jacm} {"J.~ACM"} + +MACRO {jcss} {"J.~Comput. Syst. Sci."} + +MACRO {scp} {"Sci. Comput. Programming"} + +MACRO {sicomp} {"SIAM J. Comput."} + +MACRO {tocs} {"ACM Trans. Comput. Syst."} + +MACRO {tods} {"ACM Trans. Database Syst."} + +MACRO {tog} {"ACM Trans. Gr."} + +MACRO {toms} {"ACM Trans. Math. Softw."} + +MACRO {toois} {"ACM Trans. Office Inf. Syst."} + +MACRO {toplas} {"ACM Trans. Prog. Lang. Syst."} + +MACRO {tcs} {"Theoretical Comput. Sci."} + + +READ + +FUNCTION {sortify} +{ purify$ + "l" change.case$ +} + +INTEGERS { len } + +FUNCTION {chop.word} +{ 's := + 'len := + s #1 len substring$ = + { s len #1 + global.max$ substring$ } + 's + if$ +} + +FUNCTION {format.lab.names} +{ 's := + s #1 "{vv~}{ll}" format.name$ + s num.names$ duplicate$ + #2 > + { pop$ " et~al." * } + { #2 < + 'skip$ + { s #2 "{ff }{vv }{ll}{ jj}" format.name$ "others" = + { " et~al." * } + { " and " * s #2 "{vv~}{ll}" format.name$ * } + if$ + } + if$ + } + if$ +} + +FUNCTION {author.key.label} +{ author empty$ + { key empty$ + { cite$ #1 #3 substring$ } + 'key + if$ + } + { author format.lab.names } + if$ +} + +FUNCTION {author.editor.key.label} +{ author empty$ + { editor empty$ + { key empty$ + { cite$ #1 #3 substring$ } + 'key + if$ + } + { editor format.lab.names } + if$ + } + { author format.lab.names } + if$ +} + +FUNCTION {author.key.organization.label} +{ author empty$ + { key empty$ + { organization empty$ + { cite$ #1 #3 substring$ } + { "The " #4 organization chop.word #3 text.prefix$ } + if$ + } + 'key + if$ + } + { author format.lab.names } + if$ +} + +FUNCTION {editor.key.organization.label} +{ editor empty$ + { key empty$ + { organization empty$ + { cite$ #1 #3 substring$ } + { "The " #4 organization chop.word #3 text.prefix$ } + if$ + } + 'key + if$ + } + { editor format.lab.names } + if$ +} + +FUNCTION {calc.short.authors} +{ type$ "book" = + type$ "inbook" = + or + 'author.editor.key.label + { type$ "proceedings" = + 'editor.key.organization.label + { type$ "manual" = + 'author.key.organization.label + 'author.key.label + if$ + } + if$ + } + if$ + 'short.list := +} + +FUNCTION {calc.label} +{ calc.short.authors + short.list + "(" + * + year duplicate$ empty$ + short.list key field.or.null = or + { pop$ "" } + 'skip$ + if$ + * + 'label := +} + +FUNCTION {sort.format.names} +{ 's := + #1 'nameptr := + "" + s num.names$ 'numnames := + numnames 'namesleft := + { namesleft #0 > } + { + s nameptr "{vv{ } }{ll{ }}{ f{ }}{ jj{ }}" format.name$ 't := + nameptr #1 > + { + " " * + namesleft #1 = t "others" = and + { "zzzzz" * } + { numnames #2 > nameptr #2 = and + { "zz" * year field.or.null * " " * } + 'skip$ + if$ + t sortify * + } + if$ + } + { t sortify * } + if$ + nameptr #1 + 'nameptr := + namesleft #1 - 'namesleft := + } + while$ +} + +FUNCTION {sort.format.title} +{ 't := + "A " #2 + "An " #3 + "The " #4 t chop.word + chop.word + chop.word + sortify + #1 global.max$ substring$ +} + +FUNCTION {author.sort} +{ author empty$ + { key empty$ + { "to sort, need author or key in " cite$ * warning$ + "" + } + { key sortify } + if$ + } + { author sort.format.names } + if$ +} + +FUNCTION {author.editor.sort} +{ author empty$ + { editor empty$ + { key empty$ + { "to sort, need author, editor, or key in " cite$ * warning$ + "" + } + { key sortify } + if$ + } + { editor sort.format.names } + if$ + } + { author sort.format.names } + if$ +} + +FUNCTION {author.organization.sort} +{ author empty$ + { organization empty$ + { key empty$ + { "to sort, need author, organization, or key in " cite$ * warning$ + "" + } + { key sortify } + if$ + } + { "The " #4 organization chop.word sortify } + if$ + } + { author sort.format.names } + if$ +} + +FUNCTION {editor.organization.sort} +{ editor empty$ + { organization empty$ + { key empty$ + { "to sort, need editor, organization, or key in " cite$ * warning$ + "" + } + { key sortify } + if$ + } + { "The " #4 organization chop.word sortify } + if$ + } + { editor sort.format.names } + if$ +} + + +FUNCTION {presort} +{ calc.label + label sortify + " " + * + type$ "book" = + type$ "inbook" = + or + 'author.editor.sort + { type$ "proceedings" = + 'editor.organization.sort + { type$ "manual" = + 'author.organization.sort + 'author.sort + if$ + } + if$ + } + if$ + " " + * + year field.or.null sortify + * + " " + * + cite$ + * + #1 entry.max$ substring$ + 'sort.label := + sort.label * + #1 entry.max$ substring$ + 'sort.key$ := +} + +ITERATE {presort} + +SORT + +STRINGS { longest.label last.label next.extra } + +INTEGERS { longest.label.width last.extra.num number.label } + +FUNCTION {initialize.longest.label} +{ "" 'longest.label := + #0 int.to.chr$ 'last.label := + "" 'next.extra := + #0 'longest.label.width := + #0 'last.extra.num := + #0 'number.label := +} + +FUNCTION {forward.pass} +{ last.label label = + { last.extra.num #1 + 'last.extra.num := + last.extra.num int.to.chr$ 'extra.label := + } + { "a" chr.to.int$ 'last.extra.num := + "" 'extra.label := + label 'last.label := + } + if$ + number.label #1 + 'number.label := +} + +FUNCTION {reverse.pass} +{ next.extra "b" = + { "a" 'extra.label := } + 'skip$ + if$ + extra.label 'next.extra := + extra.label + duplicate$ empty$ + 'skip$ + { "{\natexlab{" swap$ * "}}" * } + if$ + 'extra.label := + label extra.label * 'label := +} + +EXECUTE {initialize.longest.label} + +ITERATE {forward.pass} + +REVERSE {reverse.pass} + +FUNCTION {bib.sort.order} +{ sort.label 'sort.key$ := +} + +ITERATE {bib.sort.order} + +SORT + +FUNCTION {begin.bib} +{ preamble$ empty$ + 'skip$ + { preamble$ write$ newline$ } + if$ + "\begin{thebibliography}{" number.label int.to.str$ * "}" * + write$ newline$ + "\providecommand{\natexlab}[1]{#1}" + write$ newline$ + "\providecommand{\url}[1]{\texttt{#1}}" + write$ newline$ + "\expandafter\ifx\csname urlstyle\endcsname\relax" + write$ newline$ + " \providecommand{\doi}[1]{doi: #1}\else" + write$ newline$ + " \providecommand{\doi}{doi: \begingroup \urlstyle{rm}\Url}\fi" + write$ newline$ +} + +EXECUTE {begin.bib} + +EXECUTE {init.state.consts} + +ITERATE {call.type$} + +FUNCTION {end.bib} +{ newline$ + "\end{thebibliography}" write$ newline$ +} + +EXECUTE {end.bib} diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/main.bib b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/main.bib new file mode 100644 index 0000000000000000000000000000000000000000..1581debf9ff7054707196990d17845e852d18f69 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/main.bib @@ -0,0 +1,173 @@ +@inproceedings{xue2024human3diffusion, + title={Human-3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models}, + author={Xue, Yuxuan and Xie, Xianghui and Marin, Riccardo and Pons-Moll, Gerard}, + booktitle={Advances in Neural Information Processing Systems}, + year={2024} +} + +@article{kerbl2023gaussians, + title={3D Gaussian Splatting for Real-Time Radiance Field Rendering}, + author={Kerbl, Bernhard and Kopanas, Georgios and Leimkuehler, Thomas and Drettakis, George}, + journal={ACM Transactions on Graphics}, + volume={42}, + number={4}, + year={2023} +} + +@inproceedings{pavlakos2019smplx, + title={Expressive Body Capture: 3D Hands, Face, and Body From a Single Image}, + author={Pavlakos, Georgios and Choutas, Vasileios and Ghorbani, Nima and Bolkart, Timo and Osman, Ahmed A. A. and Tzionas, Dimitrios and Black, Michael J.}, + booktitle={CVPR}, + pages={10975--10985}, + year={2019} +} + +@inproceedings{xiong2024mvhuman, + title={MVHumanNet: A Large-scale Dataset of Multi-view Daily Dressing Human Captures}, + author={Xiong, Zhangyang and Li, Chenghong and Liu, Kenkun and Liao, Hongjie and Hu, Jianqiao and Zhu, Junyi and Ning, Shuliang and Qiu, Lingteng and Wang, Chongjie and Wang, Shijie and Cui, Shuguang and Han, Xiaoguang}, + booktitle={CVPR}, + pages={19801--19811}, + year={2024} +} + +@article{xiong2025mvhumanpp, + title={MVHumanNet++: A Large-scale Dataset of Multi-view Daily Dressing Human Captures with Richer Annotations for 3D Human Digitization}, + author={Xiong, Zhangyang and others}, + journal={arXiv preprint arXiv:2505.01838}, + year={2025} +} + +@inproceedings{yang2023synbody, + title={SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling}, + author={Yang, Zhitao and Cai, Zhongang and Mei, Haiyi and Liu, Shuai and Chen, Zhaoxi and Xiao, Weiye and Wei, Yukun and Qing, Zhongfei and Wei, Chen and Dai, Bo and Wu, Wayne and Qian, Chen and Lin, Dahua and Liu, Ziwei and Yang, Lei}, + booktitle={ICCV}, + pages={20282--20292}, + year={2023} +} + +@inproceedings{hu2023sherf, + title={SHERF: Generalizable Human NeRF from a Single Image}, + author={Hu, Shoukang and Hong, Fangzhou and Pan, Liang and Mei, Haiyi and Yang, Lei and Liu, Ziwei}, + booktitle={ICCV}, + pages={9352--9364}, + year={2023} +} + +@inproceedings{zheng2024gpsgaussian, + title={GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis}, + author={Zheng, Shunyuan and Zhou, Boyao and Shao, Ruizhi and Liu, Boning and Zhang, Shengping and Nie, Liqiang and Liu, Yebin}, + booktitle={CVPR}, + pages={19680--19690}, + year={2024} +} + +@inproceedings{xiao2025rogsplat, + title={RoGSplat: Learning Robust Generalizable Human Gaussian Splatting from Sparse Multi-View Images}, + author={Xiao, Junjin and Zhang, Qing and Nie, Yonewei and Zhu, Lei and Zheng, Wei-Shi}, + booktitle={CVPR}, + pages={5980--5990}, + year={2025} +} + +@inproceedings{tu2025gbcsplat, + title={GBC-Splat: Generalizable Gaussian-Based Clothed Human Digitalization under Sparse RGB Cameras}, + author={Tu, Hanzhang and Liao, Zhanfeng and Zhou, Boyao and Zheng, Shunyuan and Zhou, Xilong and Zhang, Liuxin and Wang, QianYing and Liu, Yebin}, + booktitle={CVPR}, + pages={26377--26387}, + year={2025} +} + +@article{zubekhin2025giga, + title={GIGA: Generalizable Sparse Image-driven Gaussian Avatars}, + author={Zubekhin, Anton and Zhu, Heming and Gotardo, Paulo and Beeler, Thabo and Habermann, Marc and Theobalt, Christian}, + journal={arXiv preprint arXiv:2504.07144}, + year={2025} +} + +@inproceedings{kim2026ghgs, + title={Generalizable Human Gaussian Splatting via Multi-view Semantic Consistency}, + author={Kim, Jingi and Kim, Wonjun}, + booktitle={CVPR Findings}, + pages={139--148}, + year={2026} +} + +@inproceedings{chen2024morphable, + title={Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation}, + author={Chen, Xiyi and Mihajlovic, Marko and Wang, Shaofei and Prokudin, Sergey and Tang, Siyu}, + booktitle={CVPR}, + pages={10359--10370}, + year={2024} +} + +@inproceedings{qiu2025anigs, + title={AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction}, + author={Qiu, Lingteng and Zhu, Shenhao and Zuo, Qi and Gu, Xiaodong and Dong, Yuan and Zhang, Junfei and Xu, Chao and Li, Zhe and Yuan, Weihao and Bo, Liefeng and Chen, Guanying and Dong, Zilong}, + booktitle={CVPR}, + pages={21148--21158}, + year={2025} +} + +@inproceedings{huang2025adahuman, + title={AdaHuman: Animatable Detailed 3D Human Generation with Compositional Multiview Diffusion}, + author={Huang, Yangyi and Yuan, Ye and Li, Xueting and Kautz, Jan and Iqbal, Umar}, + booktitle={ICCV}, + pages={13533--13543}, + year={2025} +} + +@inproceedings{qiu2025lhm, + title={LHM: Large Animatable Human Reconstruction Model for Single Image to 3D in Seconds}, + author={Qiu, Lingteng and Gu, Xiaodong and Li, Peihao and Zuo, Qi and Shen, Weichao and Zhang, Junfei and Qiu, Kejie and Yuan, Weihao and Chen, Guanying and Dong, Zilong and Bo, Liefeng}, + booktitle={ICCV}, + pages={14184--14194}, + year={2025} +} + +@article{qiu2026lhmpp, + title={LHM++: An Efficient Large Human Reconstruction Model for Pose-free Images to 3D}, + author={Qiu, Lingteng and Li, Peihao and Li, Heyuan and Zuo, Qi and Gu, Xiaodong and Dong, Yuan and Yuan, Weihao and Peng, Rui and Zhu, Siyu and Han, Xiaoguang and Chen, Guanying and Dong, Zilong}, + journal={arXiv preprint}, + year={2026} +} + +@inproceedings{cao2025mvgenmaster, + title={MVGenMaster: Scaling Multi-View Generation from Any Image via 3D Priors Enhanced Diffusion Model}, + author={Cao, Chenjie and Yu, Chaohui and Liu, Shang and Wang, Fan and Xue, Xiangyang and Fu, Yanwei}, + booktitle={CVPR}, + pages={6045--6056}, + year={2025} +} + +@article{jin2025diffuman4d, + title={Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models}, + author={Jin, Yudong and Peng, Sida and Wang, Xuan and Xie, Tao and Xu, Zhen and Yang, Yifan and Shen, Yujun and Bao, Hujun and Zhou, Xiaowei}, + journal={arXiv preprint arXiv:2507.13344}, + year={2025} +} + +@inproceedings{kocabas2024hugs, + title={HUGS: Human Gaussian Splats}, + author={Kocabas, Muhammed and Chang, Jen-Hao Rick and Gabriel, James and Tuzel, Oncel and Ranjan, Anurag}, + booktitle={CVPR}, + pages={505--515}, + year={2024} +} + +@inproceedings{zhang2018lpips, + title={The Unreasonable Effectiveness of Deep Features as a Perceptual Metric}, + author={Zhang, Richard and Isola, Phillip and Efros, Alexei A. and Shechtman, Eli and Wang, Oliver}, + booktitle={CVPR}, + pages={586--595}, + year={2018} +} + +@article{wang2004ssim, + title={Image Quality Assessment: From Error Visibility to Structural Similarity}, + author={Wang, Zhou and Bovik, Alan C. and Sheikh, Hamid R. and Simoncelli, Eero P.}, + journal={IEEE Transactions on Image Processing}, + volume={13}, + number={4}, + pages={600--612}, + year={2004} +} diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/main.pdf b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/main.pdf new file mode 100644 index 0000000000000000000000000000000000000000..a05801a6f90b62ec7f0e682a92c9521f8326b1f9 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/main.pdf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c1bb84ba84121244d6feaed35ae736e959bdc88e8c5b31fc5349740be1623b18 +size 1465165 diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/main.tex b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/main.tex new file mode 100644 index 0000000000000000000000000000000000000000..32ffbfa1fa54f9c5ad5729127e96caceba64fedd --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/main.tex @@ -0,0 +1,31 @@ +\documentclass[10pt,twocolumn,letterpaper]{article} + +\usepackage[review]{cvpr} +\input{preamble} + +\definecolor{cvprblue}{rgb}{0.21,0.49,0.74} +\usepackage[pagebackref,breaklinks,colorlinks,allcolors=cvprblue]{hyperref} + +\def\paperID{0000} +\def\confName{CVPR} +\def\confYear{2026} + +\title{Human3Diffusion++: High-Fidelity Sparse-View Humans with\\Controllable-Pose Gaussian Completion} + +\author{Anonymous CVPR Submission\\Paper ID 0000} + +\begin{document} +\maketitle +\input{sec/0_abstract} +\input{sec/1_intro} +\input{sec/2_related} +\input{sec/3_method} +\input{sec/4_experiments} +\input{sec/5_limitations} +\input{sec/6_conclusion} + +{\small +\bibliographystyle{ieeenat_fullname} +\bibliography{main} +} +\end{document} diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/preamble.tex b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/preamble.tex new file mode 100644 index 0000000000000000000000000000000000000000..a1403e83adf4090b1d7bef0f46fadd9d370b0bd8 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/preamble.tex @@ -0,0 +1,27 @@ +\usepackage{amsmath,amssymb,bm} +\usepackage{booktabs} +\usepackage{graphicx} +\usepackage{makecell} +\usepackage{multirow} +\usepackage{microtype} +\usepackage{tabularx} +\usepackage{xcolor} +\usepackage{xspace} +\usepackage{enumitem} +\usepackage{tikz} +\usetikzlibrary{arrows.meta,fit,positioning} + +\definecolor{hblue}{HTML}{2D6CDF} +\definecolor{horange}{HTML}{E56B2F} +\definecolor{hgreen}{HTML}{2C8B57} +\definecolor{hgray}{HTML}{F1F3F5} + +\newcommand{\method}{Human3Diffusion++\xspace} +\newcommand{\ours}{H3D++\xspace} +\newcommand{\good}[1]{\textcolor{hgreen}{#1}} +\newcommand{\bad}[1]{\textcolor{horange}{#1}} +\newcommand{\R}{\mathbb{R}} + +\setlist[itemize]{leftmargin=1.15em,itemsep=0.15em,topsep=0.2em} +\setlength{\tabcolsep}{3.5pt} +\renewcommand{\arraystretch}{1.05} diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/rebuttal.tex b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/rebuttal.tex new file mode 100644 index 0000000000000000000000000000000000000000..8b5de1247a3117131059d3b382068d8efcb8eaf5 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/rebuttal.tex @@ -0,0 +1,137 @@ +\documentclass[10pt,twocolumn,letterpaper]{article} +\usepackage[rebuttal]{cvpr} + +% Include other packages here, before hyperref. +\usepackage{graphicx} +\usepackage{amsmath} +\usepackage{amssymb} +\usepackage{booktabs} + +% Import additional packages in the preamble file, before hyperref +\input{preamble} + +% If you comment hyperref and then uncomment it, you should delete +% egpaper.aux before re-running latex. (Or just hit 'q' on the first latex +% run, let it finish, and you should be clear). +\definecolor{cvprblue}{rgb}{0.21,0.49,0.74} +\usepackage[pagebackref,breaklinks,colorlinks,allcolors=cvprblue]{hyperref} + +% If you wish to avoid re-using figure, table, and equation numbers from +% the main paper, please uncomment the following and change the numbers +% appropriately. +%\setcounter{figure}{2} +%\setcounter{table}{1} +%\setcounter{equation}{2} + +% If you wish to avoid re-using reference numbers from the main paper, +% please uncomment the following and change the counter value to the +% number of references you have in the main paper (here, 100). +%\makeatletter +%\apptocmd{\thebibliography}{\global\c@NAT@ctr 100\relax}{}{} +%\makeatother + +%%%%%%%%% PAPER ID - PLEASE UPDATE +\def\paperID{*****} % *** Enter the Paper ID here +\def\confName{CVPR} +\def\confYear{2026} + +\begin{document} + +%%%%%%%%% TITLE - PLEASE UPDATE +\title{\LaTeX\ Guidelines for Author Response} % **** Enter the paper title here + +\maketitle +\thispagestyle{empty} +\appendix + +%%%%%%%%% BODY TEXT - ENTER YOUR RESPONSE BELOW +\section{Introduction} + +After receiving paper reviews, authors may optionally submit a rebuttal to address the reviewers' comments, which will be limited to a {\bf one page} PDF file. +Please follow the steps and style guidelines outlined below for submitting your author response. + +The author rebuttal is optional and, following similar guidelines to previous conferences, is meant to provide you with an opportunity to rebut factual errors or to supply additional information requested by the reviewers. +It is NOT intended to add new contributions (theorems, algorithms, experiments) that were absent in the original submission and NOT specifically requested by the reviewers. +You may optionally add a figure, graph, or proof to your rebuttal to better illustrate your answer to the reviewers' comments. + +Per a passed 2018 PAMI-TC motion, reviewers should refrain from requesting significant additional experiments for the rebuttal or penalize for lack of additional experiments. +Authors should refrain from including new experimental results in the rebuttal, especially when not specifically requested to do so by the reviewers. +Authors may include figures with illustrations or comparison tables of results reported in the submission/supplemental material or in other papers. + +Just like the original submission, the rebuttal must maintain anonymity and cannot include external links that reveal the author identity or circumvent the length restriction. +The rebuttal must comply with this template (the use of sections is not required, though it is recommended to structure the rebuttal for ease of reading). + +%------------------------------------------------------------------------- + +\subsection{Response length} +Author responses must be no longer than 1 page in length including any references and figures. +Overlength responses will simply not be reviewed. +This includes responses where the margins and formatting are deemed to have been significantly altered from those laid down by this style guide. +Note that this \LaTeX\ guide already sets figure captions and references in a smaller font. + +%------------------------------------------------------------------------ +\section{Formatting your Response} + +{\bf Make sure to update the paper title and paper ID in the appropriate place in the tex file.} + +All text must be in a two-column format. +The total allowable size of the text area is $6\frac78$ inches (17.46 cm) wide by $8\frac78$ inches (22.54 cm) high. +Columns are to be $3\frac14$ inches (8.25 cm) wide, with a $\frac{5}{16}$ inch (0.8 cm) space between them. +The top margin should begin 1 inch (2.54 cm) from the top edge of the page. +The bottom margin should be $1\frac{1}{8}$ inches (2.86 cm) from the bottom edge of the page for $8.5 \times 11$-inch paper; +for A4 paper, approximately $1\frac{5}{8}$ inches (4.13 cm) from the bottom edge of the page. + +Please number any displayed equations. +It is important for readers to be able to refer to any particular equation. + +Wherever Times is specified, Times Roman may also be used. +Main text should be in 10-point Times, single-spaced. +Section headings should be in 10 or 12 point Times. +All paragraphs should be indented 1 pica (approx.~$\frac{1}{6}$ inch or 0.422 cm). +Figure and table captions should be 9-point Roman type as in \cref{fig:onecol}. + + +List and number all bibliographical references in 9-point Times, single-spaced, +at the end of your response. +When referenced in the text, enclose the citation number in square brackets, for example~\cite{Alpher05}. +Where appropriate, include the name(s) of editors of referenced books. + +\begin{figure}[t] + \centering + \fbox{\rule{0pt}{0.5in} \rule{0.9\linewidth}{0pt}} + %\includegraphics[width=0.8\linewidth]{egfigure.eps} + \caption{Example of caption. It is set in Roman so that mathematics + (always set in Roman: $B \sin A = A \sin B$) may be included without an + ugly clash.} + \label{fig:onecol} +\end{figure} + +To avoid ambiguities, it is best if the numbering for equations, figures, tables, and references in the author response does not overlap with that in the main paper (the reviewer may wonder if you talk about \cref{fig:onecol} in the author response or in the paper). +See \LaTeX\ template for a workaround. + +%------------------------------------------------------------------------- +\subsection{Illustrations, graphs, and photographs} + +All graphics should be centered. +Please ensure that any point you wish to make is resolvable in a printed copy of the response. +Resize fonts in figures to match the font in the body text, and choose line widths which render effectively in print. +Readers (and reviewers), even of an electronic copy, may choose to print your response in order to read it. +You cannot insist that they do otherwise, and therefore must not assume that they can zoom in to see tiny details on a graphic. + +When placing figures in \LaTeX, it is almost always best to use \verb+\includegraphics+, and to specify the figure width as a multiple of the line width as in the example below +{\small\begin{verbatim} + \usepackage{graphicx} ... + \includegraphics[width=0.8\linewidth] + {myfile.pdf} +\end{verbatim} +} + + +%%%%%%%%% REFERENCES +{ + \small + \bibliographystyle{ieeenat_fullname} + \bibliography{main} +} + +\end{document} diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/rendered/main-1.png b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/rendered/main-1.png new file mode 100644 index 0000000000000000000000000000000000000000..b0fc5aa766039083a4976d2bce2a9a2767f9a6dc --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/rendered/main-1.png @@ -0,0 +1,3 @@ +version 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index 0000000000000000000000000000000000000000..6a1cd67836fd701015961211af75bd9483a88abb --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/scripts/make_paper_figures.py @@ -0,0 +1,50 @@ +from pathlib import Path + +from PIL import Image, ImageEnhance + + +ROOT = Path(__file__).resolve().parents[1] +SRC = ROOT / "figures" / "source" +OUT = ROOT / "figures" + + +def save_pose_teaser() -> None: + image = Image.open(SRC / "v127_pose_control_inputs_pose_targets_gt.png").convert("RGB") + # Five observed views, source/target pose geometry, and the first target-camera row. + crop = image.crop((0, 0, image.width, 1165)) + crop.save(OUT / "pose_teaser.png", quality=96) + + +def save_same_pose_pair() -> None: + mv = Image.open(SRC / "mvhumannetpp_0.png").convert("RGB") + syn = Image.open(SRC / "synbody_0.png").convert("RGB") + # Retain full-body and face rows; the hand rows remain available as standalone panels. + mv = mv.crop((0, 0, mv.width, 615)) + syn = syn.crop((0, 0, syn.width, 615)) + gap = 18 + canvas = Image.new("RGB", (mv.width, mv.height + syn.height + gap), "white") + canvas.paste(mv, (0, 0)) + canvas.paste(syn, (0, mv.height + gap)) + canvas = ImageEnhance.Sharpness(canvas).enhance(1.05) + canvas.save(OUT / "same_pose_mv_syn.png", quality=96) + + +def save_external_pair() -> None: + a = Image.open(SRC / "sample_0_view_0.png").convert("RGB") + b = Image.open(SRC / "external_sample_10_view_0.png").convert("RGB") + # Full-body and face rows are the most legible at two-column width. + a = a.crop((0, 0, a.width, 610)) + b = b.crop((0, 0, b.width, 610)) + gap = 18 + canvas = Image.new("RGB", (a.width, a.height + b.height + gap), "white") + canvas.paste(a, (0, 0)) + canvas.paste(b, (0, a.height + gap)) + canvas.save(OUT / "external_renderpeople.png", quality=96) + + +if __name__ == "__main__": + OUT.mkdir(parents=True, exist_ok=True) + save_pose_teaser() + save_same_pose_pair() + save_external_pair() + print("PAPER_FIGURES_OK") diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/scripts/make_pdf_contact_sheets.py b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/scripts/make_pdf_contact_sheets.py new file mode 100644 index 0000000000000000000000000000000000000000..731f2608ba4434f43adfa99568557818ef0aa829 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/scripts/make_pdf_contact_sheets.py @@ -0,0 +1,41 @@ +from pathlib import Path + +from PIL import Image, ImageDraw + + +ROOT = Path(__file__).resolve().parents[1] + + +def contact(prefix: str) -> None: + pages = sorted((ROOT / "rendered").glob(f"{prefix}-*.png")) + if not pages: + raise RuntimeError(f"No rendered pages for {prefix}") + opened = [Image.open(path).convert("RGB") for path in pages] + thumb_w = 720 + thumb_h = round(opened[0].height * thumb_w / opened[0].width) + margin = 24 + label_h = 34 + per_sheet = 4 + for start in range(0, len(opened), per_sheet): + batch = opened[start : start + per_sheet] + sheet = Image.new( + "RGB", + (2 * thumb_w + 3 * margin, 2 * (thumb_h + label_h) + 3 * margin), + "#d9dde3", + ) + draw = ImageDraw.Draw(sheet) + for local, page in enumerate(batch): + row, col = divmod(local, 2) + x = margin + col * (thumb_w + margin) + y = margin + row * (thumb_h + label_h + margin) + page.thumbnail((thumb_w, thumb_h), Image.Resampling.LANCZOS) + sheet.paste(page, (x, y + label_h)) + draw.text((x + 4, y + 6), f"{prefix} page {start + local + 1}", fill="black") + out = ROOT / "rendered" / f"{prefix}_contact_{start // per_sheet + 1}.png" + sheet.save(out, quality=95) + + +if __name__ == "__main__": + contact("main") + contact("supplementary") + print("PDF_CONTACT_SHEETS_OK") diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/0_abstract.tex b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/0_abstract.tex new file mode 100644 index 0000000000000000000000000000000000000000..4bb7ce252208bec72298e89da48adeacd9926832 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/0_abstract.tex @@ -0,0 +1,3 @@ +\begin{abstract} +Reconstructing a person from a few calibrated images requires both faithful same-pose geometry and a representation that remains coherent under user-controlled articulation. We present \method, a feed-forward Gaussian human model that extends an explicit 3D-consistent diffusion reconstructor from same-pose novel-view synthesis to controllable novel-pose rendering. The same-pose foundation combines balanced real/synthetic training, native $512^2$ supervision, $192^2$ Gaussian planes, and geometry-aligned face/hand refinement. For animation, deterministic dense SMPL-X relative linear-blend skinning transports the predicted Gaussians from source to target pose while preserving color, opacity, scale, and count. A target-pose adapter then lifts front-most evidence from all five observed views, predicts bounded residual Gaussian deformation, and completes newly exposed appearance in image space. Prediction never observes target RGB or masks. On fixed held-out MVHumanNet++ and SynBody protocols, the same-pose model reaches 26.74/28.40 dB PSNR. On 32 disjoint arbitrary-pose pairs, our balanced controllable model improves the original same-pose checkpoint by $+0.24$ dB global PSNR, $+0.74$ dB foreground PSNR, and $+0.00024$ LPIPS, while improving face and both-hand PSNR by at least $0.21$ dB. We additionally report a source-only external RenderPeople diagnostic and extensive failure-aware ablations. +\end{abstract} diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/1_intro.tex b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/1_intro.tex new file mode 100644 index 0000000000000000000000000000000000000000..2beec8315fc49766cf661d0b854bab035a872b1a --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/1_intro.tex @@ -0,0 +1,24 @@ +\section{Introduction} + +Sparse-view human reconstruction is becoming practical: modern feed-forward models can infer an explicit avatar from a handful of images in seconds~\cite{xue2024human3diffusion,zheng2024gpsgaussian,xiao2025rogsplat,qiu2025lhm,zubekhin2025giga}. Yet two objectives remain awkwardly separated. Methods optimized for same-pose novel views can preserve clothing and silhouette but are not directly controllable; animatable models can accept a new body pose but often expose unobserved surfaces or inherit artifacts from approximate skinning. A useful avatar should do both without target-image fitting. + +\begin{figure*}[t] + \centering + \includegraphics[width=\textwidth]{figures/pose_teaser.png} + \caption{\textbf{Five images to a controllable avatar.} The model observes five calibrated views in one source pose (top), accepts a user-specified SMPL-X target pose (middle), and renders disjoint target cameras (bottom). The deterministic relative-LBS core establishes pose and silhouette; our occlusion-aware adapter repairs newly exposed clothing and residual deformation. Target RGB and masks are used only for evaluation.} + \label{fig:teaser} +\end{figure*} + +We revisit Human-3Diffusion~\cite{xue2024human3diffusion} from this joint perspective. Rather than replacing its explicit Gaussian representation, we scale and specialize it in three stages. First, a balanced real/synthetic curriculum, native-resolution supervision, and denser Gaussian parameter planes establish a strong five-view reconstruction foundation. Second, camera-accurate geometry-derived regions and surface-locked local rendering address the face and hands without changing the full-body Gaussian topology. Third, we turn the selected same-pose model into a target-pose renderer with a deterministic relative SMPL-X transform and a fresh completion module that explicitly reasons about visibility across the five sources. + +The target-pose design separates known geometry from uncertain appearance. Dense relative linear-blend skinning (LBS) moves every Gaussian from the observed source pose to the requested target pose; an exact same-pose bypass prevents regressions. Source Gaussians are then projected into every observed camera and filtered by a deterministic front-most z-buffer. Their fused color, learned features, support, and variance condition (i) bounded residual translation/rotation/color updates that correct LBS error and (ii) a target-view completion network restricted to the rendered foreground. Thus newly exposed pixels are synthesized from source-only evidence, while opacity, scale, count, and the accepted parent model remain locked. + +Our experiments are deliberately protocol-centric. We evaluate released checkpoints through one FP32 metric implementation, disclose each method's native inputs and training exposure, and distinguish matched-domain evaluation from a third-party RenderPeople stress test. The latter is reported as a diagnostic because our source-only coordinate gate passes 22/30 identities, not as an unconditional SOTA claim. + +Our contributions are: +\begin{itemize} + \item A high-resolution, dual-domain Gaussian human reconstructor with geometry-aligned anatomy supervision, establishing a strong five-view same-pose foundation. + \item An exact, target-free relative-SMPL-X Gaussian animation operator with a same-pose identity path and locked non-geometric attributes. + \item A source-only occlusion-aware appearance completion and residual deformation adapter for target-pose NVS, with fixed provenance, bounded corrections, and explicit visibility reasoning. + \item A common-checkpoint evaluation on MVHumanNet++, SynBody, and SHERF RenderPeople, plus ablations that retain negative results instead of selecting by test-image feedback. +\end{itemize} diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/2_formatting.tex b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/2_formatting.tex new file mode 100644 index 0000000000000000000000000000000000000000..b7acf9cc53c96b817bab83458c70ec65ca9cd97c --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/2_formatting.tex @@ -0,0 +1,153 @@ +\section{Formatting your paper} +\label{sec:formatting} + +All text must be in two-column format. +The total allowable size of the text area is $6\frac78$ inches (17.46 cm) wide by $8\frac78$ inches (22.54 cm) high. +The columns should be $3\frac14$ inches (8.25 cm) wide, with a $\frac{5}{16}$ inch (0.8 cm) space between them. +The main title (on the first page) should begin 1 inch (2.54 cm) from the top edge of the page. +The second and following pages should begin 1 inch (2.54 cm) from the top edge. +On all pages, the bottom margin should be $1\frac{1}{8}$ inches (2.86 cm) from the bottom edge of the page for $8.5 \times 11$-inch paper; +for A4 paper, approximately $1\frac{5}{8}$ inches (4.13 cm) from the bottom edge of the +page. + +%------------------------------------------------------------------------- +\subsection{Margins and page numbering} + +All printed material, including text, illustrations, and charts, must be kept +within a print area $6\frac{7}{8}$ inches (17.46 cm) wide by $8\frac{7}{8}$ inches (22.54 cm) +high. +% +Page numbers should be in the footer, centered, and $\frac{3}{4}$ inches from the bottom of the page. +The review version should have page numbers, yet the final version submitted as camera ready should not show any page numbers. +The \LaTeX\ template takes care of this when used properly. + + + +%------------------------------------------------------------------------- +\subsection{Type style and fonts} + +Wherever Times is specified, Times Roman may also be used. +If neither is available on your word processor, please use the font closest in +appearance to Times to which you have access. + +MAIN TITLE. +Center the title $1\frac{3}{8}$ inches (3.49 cm) from the top edge of the first page. +The title should be in Times 14-point, boldface type. +Capitalize the first letter of nouns, pronouns, verbs, adjectives, and adverbs; +do not capitalize articles, coordinate conjunctions, or prepositions (unless the title begins with such a word). +Leave two blank lines after the title. + +AUTHOR NAME(s) and AFFILIATION(s) are to be centered beneath the title +and printed in Times 12-point, non-boldface type. +This information is to be followed by two blank lines. + +The ABSTRACT and MAIN TEXT are to be in a two-column format. + +MAIN TEXT. +Type main text in 10-point Times, single-spaced. +Do NOT use double-spacing. +All paragraphs should be indented 1 pica (approx.~$\frac{1}{6}$ inch or 0.422 cm). +Make sure your text is fully justified---that is, flush left and flush right. +Please do not place any additional blank lines between paragraphs. + +The captions of the figures and tables should be in 9-point Roman type as in \cref{fig:onecol,fig:short}. +Short captions should be centered. Table captions should be above tables, while figure captions should be below figures. + +\noindent Callouts should be 9-point Helvetica, non-boldface type. +Initially capitalize only the first word of section titles and first-, second-, and third-order headings. + +FIRST-ORDER HEADINGS. +(For example, {\large \bf 1. Introduction}) should be Times 12-point boldface, initially capitalized, flush left, with one blank line before and one blank line after. + +SECOND-ORDER HEADINGS. +(For example, { \bf 1.1. Database elements}) should be Times 11-point boldface, initially capitalized, flush left, with one blank line before and one after. +If you require a third-order heading (we discourage it), use 10-point Times, boldface, initially capitalized, flush left, preceded by one blank line, followed by a period, and your text on the same line. + +%------------------------------------------------------------------------- +\subsection{Footnotes} + +Please use the footnotes\footnote{This is what a footnote looks like. +It often distracts the reader from the main flow of the argument.} sparingly. +Indeed, try to avoid footnotes altogether and include necessary peripheral observations in the text (within parentheses, if you prefer, as in this sentence). +If you wish to use a footnote, place it at the bottom of the column on the page on which it is referenced. +Use Times 8-point type, single-spaced. + + +%------------------------------------------------------------------------- +\subsection{Cross-references} + +For the benefit of author(s) and readers, please use the +{\small\begin{verbatim} + \cref{...} +\end{verbatim}} command for cross-referencing to figures, tables, equations, or sections. +This will automatically insert the appropriate label alongside the cross-reference as in this example: +\begin{quotation} + To see how our method outperforms previous work, see \cref{fig:onecol} and \cref{tab:example}. + It is also possible to refer to multiple targets as once, \eg~to \cref{fig:onecol,fig:short-a}. + You may also return to \cref{sec:formatting} or look at \cref{eq:also-important}. +\end{quotation} +If you do not wish to abbreviate the label, for example, at the beginning of the sentence, you can use +{\small\begin{verbatim} + \Cref{...} +\end{verbatim}} +command. Here is an example: +\begin{quotation} + \Cref{fig:onecol} is also quite important. +\end{quotation} + +%------------------------------------------------------------------------- +\subsection{References} + +List and number all bibliographical references in 9-point Times, single-spaced, at the end of your paper. +When referenced in the text, include the citation number in square brackets, for +example~\cite{Authors14}. +Where appropriate, include page numbers and the name(s) of editors of referenced books. +When citing multiple papers at once, make sure that you cite them in numerical order such as this \cite{Alpher02,Alpher03,Alpher05,Authors14b,Authors14}. +If you use the template as advised, this will be taken care of automatically. + +\begin{table} + \caption{Results. Ours is better.} + \label{tab:example} + \centering + \begin{tabular}{@{}lc@{}} + \toprule + Method & Frobnability \\ + \midrule + Theirs & Frumpy \\ + Yours & Frobbly \\ + Ours & Makes one's heart Frob\\ + \bottomrule + \end{tabular} +\end{table} + +%------------------------------------------------------------------------- +\subsection{Illustrations, graphs, and photographs} + +All graphics should be centered. +In \LaTeX, avoid using the \texttt{center} environment for this purpose, as this adds potentially unwanted whitespace. +Instead, use +{\small\begin{verbatim} + \centering +\end{verbatim}} +at the beginning of your figure. +Please ensure that any point you wish to make is resolvable in a printed copy of the paper. +Resize fonts in figures to match the font in the body text, and choose line widths that render effectively in print. +Readers (and reviewers), even of an electronic copy, may choose to print your paper in order to read it. +You cannot insist that they do otherwise and, therefore, must not assume that they can zoom in to see tiny details on a graphic. + +When placing figures in \LaTeX, it is almost always best to use \verb+\includegraphics+, and to specify the figure width as a multiple of the line width as in the example below +{\small\begin{verbatim} + \usepackage{graphicx} ... + \includegraphics[width=0.8\linewidth] + {myfile.pdf} +\end{verbatim} +} + + +%------------------------------------------------------------------------- +\subsection{Color} + +Please refer to the author guidelines on the \confName\ \confYear\ web page for a discussion of the use of color in your document. + +If you use color in your plots, please keep in mind that a significant subset of reviewers and readers may have a color vision deficiency; red-green blindness is the most frequent kind. +Hence, avoid relying only on color as the discriminative feature in plots (such as red \vs green lines), but add a second discriminative feature to ease disambiguation. \ No newline at end of file diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/2_related.tex b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/2_related.tex new file mode 100644 index 0000000000000000000000000000000000000000..051b6b59a6d61237a854c32aabafc24061150ad4 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/2_related.tex @@ -0,0 +1,10 @@ +\section{Related Work} + +\paragraph{Generalizable human reconstruction.} +Generalizable radiance-field methods lift image features into a canonical human volume and avoid subject-specific optimization~\cite{hu2023sherf}. Explicit Gaussians~\cite{kerbl2023gaussians} make this family substantially faster. GPS-Gaussian regresses pixel-wise Gaussians from sparse stereo~\cite{zheng2024gpsgaussian}; RoGSplat densifies image-aligned body points before coarse-to-fine Gaussian regression~\cite{xiao2025rogsplat}; GBC-Splat predicts clothed geometry and appearance under sparse cameras~\cite{tu2025gbcsplat}; and GIGA regresses body-template Gaussian texels at scale~\cite{zubekhin2025giga}. GHGS-MVSC instead enforces semantic consistency during multi-view feature lifting~\cite{kim2026ghgs}. These methods primarily assume matched pose across the source and target cameras. Our same-pose foundation shares their feed-forward goal, but is trained as an explicit multi-view diffusion reconstructor and then extended to target-pose rendering. + +\paragraph{Generative and large human models.} +Human-3Diffusion couples a multi-view image diffusion prior with an explicit 3D Gaussian model~\cite{xue2024human3diffusion}. Morphable Diffusion~\cite{chen2024morphable}, AniGS~\cite{qiu2025anigs}, and AdaHuman~\cite{huang2025adahuman} similarly exploit generative priors for complete, animatable avatars. LHM reconstructs an animatable Gaussian avatar from one image in seconds~\cite{qiu2025lhm}; LHM++ extends this regime to pose-free single or multi-image input with an efficient point-image transformer~\cite{qiu2026lhmpp}. Generic multi-view diffusion systems such as MVGenMaster~\cite{cao2025mvgenmaster} and spatio-temporal human diffusion such as Diffuman4D~\cite{jin2025diffuman4d} provide strong image priors but use different conditioning and output contracts. We therefore evaluate these methods only under their released native inputs and explicitly list those differences. + +\paragraph{Animatable Gaussian humans.} +SMPL-X provides a unified body, hand, and face kinematic model~\cite{pavlakos2019smplx}. Optimization-based Gaussian avatars such as HUGS~\cite{kocabas2024hugs} support novel-pose rendering but require per-subject observations. Generalizable animatable models instead bind learned appearance to body surfaces or canonical points~\cite{hu2023sherf,qiu2025lhm,zubekhin2025giga}. Pure LBS is deterministic but cannot reveal appearance missing in the input pose and cannot model cloth residuals. Our target-pose adapter preserves an auditable LBS core while learning only bounded, source-evidenced residual deformation and appearance completion. diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/3_finalcopy.tex b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/3_finalcopy.tex new file mode 100644 index 0000000000000000000000000000000000000000..f42d3bf1ffcfe11549a6d1bdaaafcf69ae479c16 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/3_finalcopy.tex @@ -0,0 +1,7 @@ +\section{Final copy} + +You must include your signed IEEE copyright release form when you submit your finished paper. +We MUST have this form before your paper can be published in the proceedings. + +Please direct any questions to the production editor in charge of these proceedings at the IEEE Computer Society Press: +\url{https://www.computer.org/about/contact}. \ No newline at end of file diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/3_method.tex b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/3_method.tex new file mode 100644 index 0000000000000000000000000000000000000000..980c5d1a2ae6c0c93138ca0264d84bfd23fe3726 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/3_method.tex @@ -0,0 +1,103 @@ +\section{Method} +\label{sec:method} + +\subsection{Problem and Overview} +We observe five foreground images $\{I_s^v,M_s^v,K_s^v,E_s^v\}_{v=1}^5$ of one identity in a source SMPL-X pose $\theta_s$. Given target cameras $\{K_t^u,E_t^u\}$ and a user-controlled target pose $\theta_t$, the goal is to render RGB $\hat I_t^u$ and alpha $\hat M_t^u$. Target RGB, target masks, dataset identity, and per-sample metric feedback are unavailable to prediction. + +\begin{figure*}[t] +\centering +\resizebox{\textwidth}{!}{\begin{tikzpicture}[ + font=\scriptsize, + box/.style={draw,rounded corners=2pt,minimum height=8mm,align=center,fill=hgray}, + blue/.style={box,draw=hblue,fill=hblue!8}, + orange/.style={box,draw=horange,fill=horange!8}, + green/.style={box,draw=hgreen,fill=hgreen!8}, + arrow/.style={-{Latex[length=2mm]},thick}, + node distance=5mm and 6mm] + \node[blue,text width=18mm] (src) {Five source\\RGB + cameras}; + \node[blue,text width=23mm,right=of src] (foundation) {Dual-domain\\$512^2/192^2$ reconstructor}; + \node[blue,text width=20mm,right=of foundation] (gauss) {Canonical\\147,456 Gaussians}; + \node[orange,text width=22mm,right=of gauss] (lbs) {Dense relative\\SMPL-X LBS}; + \node[orange,text width=18mm,above=5mm of lbs] (pose) {Target pose\\$\theta_t$}; + \node[orange,text width=20mm,right=of lbs] (posed) {Posed Gaussian\\core}; + \node[green,text width=22mm,right=of posed] (render) {Target-camera\\rasterization}; + \node[green,text width=18mm,right=of render] (out) {RGB + alpha}; + + \node[green,text width=24mm,below=13mm of gauss] (lift) {Front-most source lift\\color / feature / support}; + \node[green,text width=23mm,right=of lift] (point) {Bounded point residual\\$\Delta x,\Delta q,\Delta c$}; + \node[green,text width=22mm,below=13mm of render] (unet) {Occlusion completion\\U-Net}; + + \draw[arrow] (src)--(foundation); + \draw[arrow] (foundation)--(gauss); + \draw[arrow] (gauss)--(lbs); + \draw[arrow] (pose)--(lbs); + \draw[arrow] (lbs)--(posed); + \draw[arrow] (posed)--(render); + \draw[arrow] (render)--(out); + \draw[arrow] (src.south) |- (lift.west); + \draw[arrow] (gauss.south) -- (lift.north); + \draw[arrow] (lift)--(point); + \draw[arrow] (point.north) |- (posed.south); + \draw[arrow] (render.south) -- (unet.north); + \draw[arrow] (lift.east) -| (unet.west); + \draw[arrow] (unet.east) -| (out.south); + + \node[draw=hblue,dashed,rounded corners,fit=(src)(foundation)(gauss),inner sep=3mm,label={[hblue]above:high-fidelity same-pose foundation}] {}; + \node[draw=horange,dashed,rounded corners,fit=(pose)(lbs)(posed),inner sep=3mm,label={[horange]above:controllable pose core}] {}; + \node[draw=hgreen,dashed,rounded corners,fit=(lift)(point)(unet)(render)(out),inner sep=3mm,label={[hgreen]below:source-only target-pose repair}] {}; +\end{tikzpicture}} +\caption{\textbf{Method overview.} A high-resolution diffusion reconstructor predicts an explicit Gaussian avatar. Relative SMPL-X LBS provides an auditable pose core. Five-view front-most evidence drives bounded point repair and target-view completion; no target image enters the forward path.} +\label{fig:method} +\end{figure*} + +Figure~\ref{fig:method} summarizes the model. A selected same-pose foundation predicts explicit canonical Gaussians. A parameter-free relative-LBS operator poses them. Finally, a fresh adapter uses source-only visibility to correct residual deformation and complete disoccluded appearance. + +\subsection{High-Fidelity Gaussian Foundation} +Starting from Human-3Diffusion~\cite{xue2024human3diffusion}, we use balanced $1{:}1$ sampling from real MVHumanNet++~\cite{xiong2024mvhuman} and synthetic SynBody~\cite{yang2023synbody}. We supervise native $512\!\times\!512$ images and regress four $192\!\times\!192$ Gaussian planes. Flattening the four planes yields $N=147{,}456$ Gaussians +\begin{equation} + \mathcal G^c=\{(\bm x_i^c,o_i,\bm s_i,\bm q_i,\bm c_i)\}_{i=1}^{N}, +\end{equation} +where position, opacity, anisotropic scale, quaternion, and RGB occupy 14 channels. This explicit contract is fixed for all later stages. + +Fine anatomy is easy to underweight at full-body resolution. We therefore derive face and hand boxes from calibrated SMPL-X projections, supervise off-axis native crops, and attach a surface-locked local renderer. Geometry-warped transport, triangle-mip filtering, and identity/view-disentangled appearance progressively stabilize these crops. The local path changes only supported RGB; full-body Gaussians and alpha remain governed by the parent model. + +\subsection{Deterministic Relative-LBS Pose Core} +Let $A_j(\theta)$ be the world transform of SMPL-X joint $j$ and $w_{ij}$ the dense skinning weight associated with Gaussian $i$. We transport a source-world point by +\begin{equation} + \tilde{\bm x}_i^t = \sum_j w_{ij} A_j(\theta_t)A_j(\theta_s)^{-1}\bar{\bm x}_i^s, + \label{eq:relative_lbs} +\end{equation} +with homogeneous $\bar{\bm x}$. The corresponding blended relative rotation updates $\bm q_i$; color, opacity, scale, and Gaussian count are copied exactly. The transform is dense rather than nearest-vertex skinning and uses the same canonical/world contract in training and deployment. When $\theta_t=\theta_s$, a bit-exact bypass returns the source Gaussians, avoiding numerical drift. + +We fine-tune only 80 late-decoder tensors (8.45M parameters) for two cross-pose epochs while protecting source-pose reconstruction. This stage learns Gaussian attributes that tolerate relative articulation; it does not introduce a second geometry layer. + +\subsection{Occlusion-Aware Target-Pose Repair} +Relative LBS cannot infer appearance that becomes visible only after articulation and cannot capture loose-cloth residuals. We address both without changing the accepted pose core. + +\paragraph{Source evidence lift.} +We project every source-world Gaussian into all five observed cameras. A deterministic point z-buffer retains front-most samples; foreground masks and image centrality define weights $\omega_i^v$. We aggregate +\begin{align} + \bar{\bm f}_i &= \frac{\sum_v \omega_i^v \bm f_i^v}{\sum_v\omega_i^v+\epsilon}, & + p_i &= 1-\exp(-\sum_v\omega_i^v),\\ + \sigma_i^2 &= \frac{\sum_v\omega_i^v\|\bm c_i^v-\bar{\bm c}_i\|^2}{\sum_v\omega_i^v+\epsilon}, +\end{align} +where $\bm f_i^v$ combines observed RGB and learned source features, $p_i$ is support, and $\sigma_i^2$ is view disagreement. Aggregation is source-order invariant; all-invalid evidence returns the pose core. + +\paragraph{Residual deformation.} +A point MLP consumes frozen Gaussian attributes, lifted evidence, target-view geometry, and pose strain. It predicts confidence-gated residuals +\begin{align} + \Delta\bm x_i &= 0.025\tanh(\bm r_i^x), & + \Delta\bm r_i &= 0.12\tanh(\bm r_i^q),\\ + \Delta\bm c_i &= 0.20\tanh(\bm r_i^c). && +\end{align} +Residual rotation is composed in quaternion space. Opacity, scale, and count are locked. + +\paragraph{Appearance completion.} +After rasterization, a U-Net receives core/repaired RGB, alpha, normal, normalized depth, projected support, variance, and strain. It predicts a bounded RGB residual inside parent support: +\begin{equation} + \hat I_t = I_t^{\mathrm{core}} + M_t^{\mathrm{core}}\odot 0.20\tanh(\mathcal C(\cdot)). +\end{equation} +Final heads are zero initialized, so initialization equals the pose core. The complete adapter has 3.72M parameters and is stored separately from the immutable parent. + +\subsection{Training Objectives} +The same-pose foundation uses RGB, foreground RGB, alpha, and explicit FP32 LPIPS~\cite{zhang2018lpips}, with additional geometry-derived face/hand crop losses. Cross-pose training protects source and target full/foreground reconstruction and alpha. The completion adapter adds gradient and local-region terms plus norm bounds on $\Delta\bm x$, $\Delta\bm q$, and $\Delta\bm c$. Target supervision is evaluated only after the complete prediction; it never enters evidence construction, routing, or test-time strength. diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/4_experiments.tex b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/4_experiments.tex new file mode 100644 index 0000000000000000000000000000000000000000..32d401145de7ad6ceb72523cb5e0f8b0e50e5d0d --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/4_experiments.tex @@ -0,0 +1,135 @@ +\section{Experiments} +\label{sec:experiments} + +\subsection{Protocols and Implementation} +\paragraph{Same-pose NVS.} +We use 64 held-out identities/groups from each of MVHumanNet++~\cite{xiong2024mvhuman} and SynBody~\cite{yang2023synbody}. The fixed protocol contains 256 and 192 target views, respectively, at $512^2$ resolution. Five calibrated sources and all target cameras are disjoint. No evaluation identity, pose, or scene is used by our training or local adaptation. We evaluate raw predictions with one FP32 implementation of PSNR, foreground PSNR, SSIM~\cite{wang2004ssim}, AlexNet LPIPS~\cite{zhang2018lpips}, and alpha MSE. + +\paragraph{Controllable pose.} +We train on 90 SynBody identities and evaluate 32 fixed cross-pose pairs from disjoint identities 090--099, each with four target cameras. The pose core trains for two epochs with 128 pairs per identity and learning rate $2\!\times\!10^{-6}$; only 80 late-decoder tensors are updated. The occlusion adapter trains independently for two epochs with 32 pairs per identity, BF16, and an initial learning rate $10^{-4}$ on eight A100 GPUs. The balanced e283 adapter is the default; e284 is a disclosed pixel-first alternative. + +\paragraph{External diagnostic.} +We use the official SHERF RenderPeople split~\cite{hu2023sherf}: 30 unseen identities, five observed cameras, and three disjoint targets (90 views). H3D uses a source-only, no-scale, five-source visibility-fused adapter after SMPL-to-SMPL-X registration; LHM++ uses the same source-only body registration. Neither uses target-image alignment. H3D passes the strict joint/part coordinate gate on 22/30 identities, so this is a stress-test diagnostic, not a final SOTA row. + +\subsection{Same-Pose Reconstruction} + +\begin{table*}[t] +\centering +\caption{\textbf{Same-pose novel-view synthesis under one evaluator.} Higher PSNR/FG/SSIM and lower LPIPS are better. ``Adapt.'' denotes a separately labeled checkpoint adapted on the matched domains. Released checkpoints have different training exposure and native input counts; these are not copied paper numbers.} +\label{tab:samepose} +\resizebox{\textwidth}{!}{% +\begin{tabular}{lccrrrrrrrr} +\toprule +& & & \multicolumn{4}{c}{MVHumanNet++ (64 IDs / 256 views)} & \multicolumn{4}{c}{SynBody (64 IDs / 192 views)}\\ +\cmidrule(lr){4-7}\cmidrule(lr){8-11} +Method & Src. & Training checkpoint & PSNR & FG & SSIM & LPIPS & PSNR & FG & SSIM & LPIPS\\ +\midrule +\textbf{H3D++ same-pose} & 5 & MV+Syn & \textbf{26.7386} & \textbf{17.0656} & \textbf{.966842} & \textbf{.022660} & \textbf{28.4028} & \textbf{20.5577} & \textbf{.961134} & \textbf{.027991}\\ +LHM++ official~\cite{qiu2026lhmpp} & 5 & released & 21.5528 & 11.0560 & .945093 & .051615 & 19.5428 & 10.7751 & .914498 & .097276\\ +LHM++ Adapt. & 5 & MV+Syn & 23.1089 & 12.6589 & .951527 & .043404 & 19.5005 & 10.8807 & .913042 & .095938\\ +GIGA~\cite{zubekhin2025giga} & 5 & MVHumanNet & 21.6420 & 13.3159 & .944351 & .055830 & 19.2306 & 11.0695 & .915418 & .096401\\ +GHGS-MVSC~\cite{kim2026ghgs} & 4 & THuman2.0 & 21.2723 & 13.5323 & .931211 & .092837 & 21.2077 & 14.1635 & .918452 & .094843\\ +\bottomrule +\end{tabular}} +\end{table*} + +Table~\ref{tab:samepose} shows a large matched-protocol advantage. Relative to adapted LHM++, our model gains 3.63 dB on MVHumanNet++ and 8.90 dB on SynBody. Against GIGA, the margins are 5.10 and 9.17 dB. The result is not due only to white background: our foreground PSNR and projected face/hand metrics also lead (supplement). Different training domains prevent interpreting every margin as zero-shot generalization. + +\begin{figure*}[t] + \centering + \includegraphics[width=\textwidth]{figures/same_pose_mv_syn.png} + \caption{\textbf{Same-pose qualitative comparison.} Rows show fixed MVHumanNet++ (top) and SynBody (bottom) examples; columns are GT, H3D++, adapted LHM++, GIGA, and GHGS-MVSC. H3D++ best preserves the global body, clothing, and face identity. Fine fingers remain smooth, while GHGS exhibits duplicated or granular Gaussians.} + \label{fig:samepose} +\end{figure*} + +\subsection{Ablation: Building the Foundation} + +\begin{table}[t] +\centering +\caption{\textbf{Global foundation progression.} Equal-domain averages give MVHumanNet++ and SynBody equal weight.} +\label{tab:foundation} +\resizebox{\columnwidth}{!}{% +\begin{tabular}{clrrrr} +\toprule +Stage & Main change & PSNR$\uparrow$ & FG$\uparrow$ & LPIPS$\downarrow$ & $\alpha$ MSE$\downarrow$\\ +\midrule +e190 & MV-heavy, $256/128^2$ & 26.1266 & 18.2906 & .031317 & .004450\\ +e210 & balanced dual-domain & 28.3035 & 19.3840 & .017752 & .002416\\ +e220 & native $512/192^2$ & 28.6017 & 19.5924 & .016636 & .002282\\ +e230 & converged foundation & \textbf{28.7198} & \textbf{19.7622} & \textbf{.016499} & \textbf{.002167}\\ +\bottomrule +\end{tabular}} +\end{table} + +Balanced dual-domain training is the dominant global improvement; native resolution and denser planes add a further 0.30 dB and then converge (Table~\ref{tab:foundation}). Camera-accurate face supervision produces a deliberately local trade-off: from e230 to e250, face PSNR improves by $+1.439/+0.715$ dB and face LPIPS by $+0.0289/+0.0308$ on MVHumanNet++/SynBody, while global PSNR changes by $-0.211/-0.077$ dB. Foreground PSNR still rises by $+0.202/+0.162$ dB. + +\begin{table}[t] +\centering +\caption{\textbf{Progressive native-face refinement.} Gains are relative to the e250 native-face evaluation baseline under a fixed native-$1024$ GT / native-$256$ crop protocol.} +\label{tab:face} +\resizebox{\columnwidth}{!}{% +\begin{tabular}{clrrr} +\toprule +Stage & Added component & Face PSNR & $\Delta$PSNR & LPIPS gain\\ +\midrule +e250 & native-face baseline & 19.7273 & 0 & 0\\ +e260 & native GT + off-axis ROI & 19.8052 & +.0779 & +.01931\\ +e265 & geometry-warped transport & 19.8359 & +.1086 & +.02296\\ +e270 & triangle-mip transport & 19.8463 & +.1190 & +.02428\\ +e275 & identity/view disentangle & \textbf{19.8509} & \textbf{+.1236} & \textbf{+.02465}\\ +\bottomrule +\end{tabular}} +\end{table} + +The monotonic trend in Table~\ref{tab:face} supports the full anatomy design rather than a single favorable checkpoint. The final surface-locked renderer adds another $+0.173/+0.154$ dB face PSNR on MVHumanNet++/SynBody at the same checkpoint; its hand improvements are positive but small, so we do not claim recovered finger topology. + +\subsection{Controllable-Pose Results} + +\begin{table*}[t] +\centering +\caption{\textbf{Held-out arbitrary-pose ablation on 32 fixed pairs.} Entries are positive-good changes relative to the original same-pose v14 e280 checkpoint; LPIPS gain is $\mathrm{LPIPS}_{e280}-\mathrm{LPIPS}_{method}$. The balanced e283 model is our default.} +\label{tab:pose} +\resizebox{\textwidth}{!}{% +\begin{tabular}{llrrrrrr} +\toprule +Model & Target-pose components & $\Delta$PSNR & $\Delta$FG & LPIPS gain & Face $\Delta$PSNR & Left $\Delta$PSNR & Right $\Delta$PSNR\\ +\midrule +v14 e280 & same-pose model, no adaptation & 0 & 0 & 0 & 0 & 0 & 0\\ +v126 e282 & relative-LBS pose core & +.1462 & +.5904 & +.000229 & +.1467 & +.2066 & +.1136\\ +\textbf{v127 e283} & \textbf{core + balanced completion} & \textbf{+.2411} & \textbf{+.7355} & \textbf{+.000235} & \textbf{+.2070} & \textbf{+.3773} & \textbf{+.2206}\\ +v127 e284 & pixel-first completion & +.3985 & +.8926 & -.000272 & +.4125 & +.5784 & +.3369\\ +\bottomrule +\end{tabular}} +\end{table*} + +Relative LBS alone provides most of the silhouette gain. The balanced occlusion adapter adds $+0.095$ dB global and $+0.145$ dB foreground PSNR over that core while improving face/left/right LPIPS by $0.00066/0.00149/0.00130$. Relative to the original same-pose model, global, foreground, face, and both-hand PSNR all clear $+0.20$ dB for e283. Improvements are largest for medium and high pose change; an exact bypass makes source-pose output bit-identical. E284 gains more PSNR but regresses global LPIPS, so it remains optional. + +The displayed example in Fig.~\ref{fig:teaser} changes from frame 0 to frame 21 (pose magnitude 8.57). E283 improves its core PSNR/FG by $+0.467/+0.540$ dB and LPIPS by $+0.00057$. Interpolation/extrapolation at coefficients $0,0.25,\ldots,1.25$ remains finite and coherent; maximum learned residual translation is 1.27 mm. + +\subsection{Third-Party Generalization Diagnostic} + +\begin{table}[t] +\centering +\caption{\textbf{SHERF RenderPeople, 30 IDs / 90 views.} All adapters are source-only. This is diagnostic because H3D passes the strict coordinate gate on 22/30 identities.} +\label{tab:external} +\resizebox{\columnwidth}{!}{% +\begin{tabular}{lrrrrr} +\toprule +Method & PSNR$\uparrow$ & FG$\uparrow$ & SSIM$\uparrow$ & LPIPS$\downarrow$ & $\alpha$ MSE$\downarrow$\\ +\midrule +\textbf{H3D++ v20} & \textbf{23.4098} & 14.7365 & \textbf{.94911} & \textbf{.04993} & \textbf{.01257}\\ +LHM++ v21 & 22.9658 & 14.8782 & .94549 & .06295 & .01347\\ +GIGA & 19.1775 & 12.2482 & .92741 & .10165 & .02843\\ +GHGS-MVSC & 8.6070 & \textbf{16.4948} & .74404 & .59989 & .39689\\ +\bottomrule +\end{tabular}} +\end{table} + +H3D leads corrected LHM++ by 0.44 dB global PSNR and 0.013 LPIPS but trails foreground PSNR by 0.14 dB. LHM++ often has smoother, more coherent face/hand detail; H3D retains granular faces. GHGS's apparently high foreground PSNR is paired with gross alpha duplication (0.397 MSE) and should not be read as a successful reconstruction. Figure~\ref{fig:external} and the supplement show the aligned outputs. + +\begin{figure}[t] + \centering + \includegraphics[width=\columnwidth]{figures/external_renderpeople.png} + \caption{\textbf{External RenderPeople diagnostic.} Two unseen identities; columns are GT, H3D, corrected LHM++, GIGA, and GHGS-MVSC. H3D/LHM++ form coherent bodies, while GIGA tears surfaces and GHGS creates separated layers. H3D face granularity remains visible.} + \label{fig:external} +\end{figure} diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/5_limitations.tex b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/5_limitations.tex new file mode 100644 index 0000000000000000000000000000000000000000..e0cd7cd63d8523440039de619d7433e4aa65cc79 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/5_limitations.tex @@ -0,0 +1,3 @@ +\section{Limitations and Ethics} +\label{sec:limitations} +The controllable model corrects clothing color and boundaries but does not reliably synthesize new high-frequency face or finger structure. Regional LPIPS improves from the relative-LBS core to e283, yet remains worse than the original same-pose checkpoint because large articulation is intrinsically harder. Dense SMPL-X LBS cannot model arbitrary topology change, hair dynamics, or severe garment motion. External RenderPeople coordinates pass our strict gate on only 22/30 identities; we therefore report that benchmark as diagnostic and include failures. The model may reproduce identity and clothing from observed people, raising consent, privacy, impersonation, and dataset-license concerns. Deployment should require authorized input imagery, provenance logging, and clear marking of synthesized output. diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/6_conclusion.tex b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/6_conclusion.tex new file mode 100644 index 0000000000000000000000000000000000000000..f2c57ad222ddf2390ea0beeaea938c572d9f3a2e --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/6_conclusion.tex @@ -0,0 +1,2 @@ +\section{Conclusion} +We presented \method, a five-view Gaussian human reconstructor that combines strong same-pose quality with user-controlled target-pose rendering. Its central design is a separation of responsibilities: a high-resolution dual-domain foundation predicts the avatar, deterministic relative SMPL-X LBS provides an exact pose core, and a source-only visibility adapter handles disocclusion and residual deformation. The balanced model improves global, foreground, face, and both-hand PSNR by material margins over the original same-pose checkpoint while preserving an exact same-pose path. Common-checkpoint comparisons and a qualified external diagnostic establish the empirical picture without hiding incompatible protocols or failure cases. diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/X_suppl.tex b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/X_suppl.tex new file mode 100644 index 0000000000000000000000000000000000000000..dfd7c92133861737f34b19b35ef44244fe9f51c7 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/sec/X_suppl.tex @@ -0,0 +1,140 @@ +\section{Reproducibility and Data Contracts} + +\paragraph{Selected checkpoints.} +The same-pose parent (v14 e280) contains exactly 752 tensors and has SHA-256 \texttt{eb5632bc...a146b4}. The accepted relative-LBS core (v126 e282) also contains 752 tensors and has SHA-256 \texttt{4c5b2248...4543e}. The balanced v127 e283 adapter is a separate 139-key, 3,716,367-parameter file with SHA-256 \texttt{fbaf3584...ea079}. The optional pixel-first e284 adapter has SHA-256 \texttt{c15241a2...256e9}. The accepted parent is never overwritten or initialized from a rejected checkpoint. + +\paragraph{Deployment signature.} +Inputs are five observed RGB/masks/cameras, source and target SMPL-X parameters, and target cameras. Target RGB/masks/errors/metrics and dataset IDs are absent. The CLI accepts a dataset target frame or an external SMPL-X NPZ. Those two routes produce bit-identical RGB/alpha for the same pose. Source-pose input gives exact zero xyz/image/opacity/scale/count deltas. + +\paragraph{Evaluation.} +PSNR is computed in FP32 on $[0,1]$ RGB. Foreground PSNR uses the GT foreground only. SSIM follows~\cite{wang2004ssim}; LPIPS uses AlexNet in FP32 eval mode~\cite{zhang2018lpips}. All methods are composited and evaluated through one implementation. Regional boxes are projected from registered SMPL-X geometry and are fixed before reading target images. + +\section{Complete Same-Pose Results} + +\begin{table*}[t] +\centering +\caption{Complete global benchmark. Dashes indicate no alpha output. All numbers are direct checkpoint evaluations, not values copied from the cited papers.} +\label{tab:sup_global} +\resizebox{\textwidth}{!}{% +\begin{tabular}{llrrrrr} +\toprule +Method & Dataset & PSNR$\uparrow$ & FG$\uparrow$ & SSIM$\uparrow$ & LPIPS$\downarrow$ & $\alpha$ MSE$\downarrow$\\ +\midrule +\multirow{2}{*}{\textbf{H3D++ v14}} & MVHumanNet++ & \textbf{26.7386} & \textbf{17.0656} & \textbf{.966842} & \textbf{.022660} & \textbf{.002660}\\ + & SynBody & \textbf{28.4028} & \textbf{20.5577} & \textbf{.961134} & \textbf{.027991} & \textbf{.002979}\\ +\midrule +\multirow{2}{*}{LHM++ official~\cite{qiu2026lhmpp}} & MVHumanNet++ & 21.5528 & 11.0560 & .945093 & .051615 & .010578\\ + & SynBody & 19.5428 & 10.7751 & .914498 & .097276 & .024375\\ +\multirow{2}{*}{LHM++ adapted} & MVHumanNet++ & 23.1089 & 12.6589 & .951527 & .043404 & .007211\\ + & SynBody & 19.5005 & 10.8807 & .913042 & .095938 & .024256\\ +\multirow{2}{*}{GIGA~\cite{zubekhin2025giga}} & MVHumanNet++ & 21.6420 & 13.3159 & .944351 & .055830 & .010171\\ + & SynBody & 19.2306 & 11.0695 & .915418 & .096401 & .024426\\ +\multirow{2}{*}{GHGS-MVSC~\cite{kim2026ghgs}} & MVHumanNet++ & 21.2723 & 13.5323 & .931211 & .092837 & .012516\\ + & SynBody & 21.2077 & 14.1635 & .918452 & .094843 & .014135\\ +\multirow{2}{*}{Diffuman4D~\cite{jin2025diffuman4d}} & MVHumanNet++ & 18.0308 & 11.1412 & .921730 & .078393 & --\\ + & SynBody & 16.0518 & 11.0933 & .880477 & .141374 & --\\ +\multirow{2}{*}{GLD} & MVHumanNet++ & 17.0366 & 6.6583 & .919372 & .122171 & --\\ + & SynBody & 19.7921 & 13.3000 & .909468 & .103010 & --\\ +\multirow{2}{*}{MVGenMaster~\cite{cao2025mvgenmaster}} & MVHumanNet++ & 13.9629 & 6.6418 & .565786 & .778431 & --\\ + & SynBody & 13.2569 & 6.5793 & .554047 & .775380 & --\\ +\bottomrule +\end{tabular}} +\end{table*} + +\begin{table*}[t] +\centering +\caption{Projected regional metrics under the same evaluator.} +\label{tab:sup_regional} +\resizebox{\textwidth}{!}{% +\begin{tabular}{llrrrrrr} +\toprule +Dataset & Method & Face PSNR & Face LPIPS & Left PSNR & Left LPIPS & Right PSNR & Right LPIPS\\ +\midrule +MVHumanNet++ & \textbf{H3D++} & \textbf{18.4815} & \textbf{.179325} & \textbf{18.9329} & \textbf{.154764} & \textbf{18.9042} & \textbf{.157950}\\ + & LHM++ adapted & 15.6380 & .230241 & 16.4670 & .205813 & 15.7805 & .213814\\ + & GIGA & 12.4534 & .370002 & 14.7543 & .251760 & 14.4245 & .260841\\ + & GHGS-MVSC & 11.6976 & .459728 & 13.7355 & .368076 & 14.1796 & .357500\\ +\midrule +SynBody & \textbf{H3D++} & \textbf{20.8745} & \textbf{.160517} & \textbf{20.5562} & \textbf{.196623} & \textbf{19.5078} & \textbf{.219758}\\ + & LHM++ adapted & 11.4362 & .414277 & 12.5488 & .439919 & 12.1770 & .455324\\ + & GIGA & 12.1416 & .392817 & 12.9507 & .412514 & 13.1971 & .407331\\ + & GHGS-MVSC & 15.5940 & .320696 & 15.6548 & .362521 & 15.9384 & .348388\\ +\bottomrule +\end{tabular}} +\end{table*} + +\paragraph{Native inputs.} +H3D and adapted LHM++ use five images; GIGA uses five; GHGS-MVSC and Diffuman4D use four; MVGenMaster uses its released maximum of three plus source SMPL-X depth. Diffuman4D additionally uses target-pose skeleton conditioning. MVGenMaster's released FP16 path becomes non-finite at denoising step 41/50 on the first sample, so we evaluate the same weights/scheduler/guidance in stable FP32. + +\section{Pose-Change Analysis} + +\begin{table}[t] +\centering +\caption{Balanced e283 minus e282 by target-pose magnitude. LPIPS uses positive-good convention.} +\label{tab:sup_posebins} +\begin{tabular}{lrrr} +\toprule +Pose bin & $\Delta$PSNR & $\Delta$FG & LPIPS gain\\ +\midrule +Low & -.0319 & +.0325 & -.000175\\ +Medium & +.1106 & +.2018 & +.000375\\ +High & +.2171 & +.2066 & -.000199\\ +\bottomrule +\end{tabular} +\end{table} + +The completion adapter is most useful after meaningful articulation. At low pose change its correction is unnecessary; exact coefficient zero uses the bypass. High-pose PSNR improves most, while LPIPS exposes remaining face/finger detail limitations. The point residual stays small (1.27 mm maximum over the tested interpolation/extrapolation sequence), indicating repair rather than a second body. + +\begin{figure*}[t] + \centering + \includegraphics[width=.96\textwidth]{figures/source/v127_pose_control_inputs_pose_targets_gt.png} + \caption{Full controllable-pose audit panel. It includes all five actual source inputs, independently rendered source/target body geometry, a disocclusion map, source-pose closure, target-pose GT, relative-LBS core, and balanced completion in four target cameras.} + \label{fig:sup_pose_full} +\end{figure*} + +\section{Failure-Aware Ablations} +We evaluated many independent repair mechanisms from the same selected parent and rejected them before large training when their precommitted gates failed. This negative evidence shaped the final design. + +\begin{table*}[t] +\centering +\caption{Representative rejected directions. A technical pass means provenance, gradients, locks, and deterministic tests succeeded; acceptance additionally required non-numerical metrics and visible recovery.} +\label{tab:sup_failures} +\begin{tabularx}{\textwidth}{p{.18\textwidth}cXX} +\toprule +Candidate family & Technical gate & Failure diagnosis & Consequence for final design\\ +\midrule +Frequency-disjoint transport & pass & Numerical-only changes; no attributable visual recovery & Do not treat orthogonal frequency heads as sufficient appearance evidence\\ +Target-after-prediction bases & pass & Safe coefficient teachers did not generalize materially & Keep target information out of deployment and avoid per-sample selection\\ +Global/native delta routers & pass & Hand PSNR improved, but global/perceptual debt and Syn-left failures remained & Preserve material signal but replace global routing with source-local visibility\\ +Full SMPL-X UV atlas & pass & MANO islands occupied only 1.7--1.8\% of the atlas & Repack charts or avoid sparse UV storage\\ +Dense hand charts & pass & 61\% occupancy, yet learned repair remained visually indistinguishable & Stop rewarding tiny bounded corrections without visible detail\\ +Patch retrieval into Gaussian RGB & pass & All gradients active; residual maxima only $2.3\times10^{-5}$ & Permit direct image completion and residual deformation\\ +Native hand synthesis & partial & No stable cross-domain visible finger recovery & Do not include hand-specific module in the selected model\\ +\bottomrule +\end{tabularx} +\end{table*} + +No rejected runtime state initializes the selected v126/v127 model. Failed candidates are preserved as diagnostics, not averaged into positive ablations. + +\section{Additional Qualitative Results} + +\begin{figure*}[t] + \centering + \includegraphics[width=.98\textwidth]{figures/source/mvhumannetpp_0.png} + \caption{Full MVHumanNet++ comparison with face and both-hand crops.} +\end{figure*} + +\begin{figure*}[t] + \centering + \includegraphics[width=.98\textwidth]{figures/source/synbody_0.png} + \caption{Full SynBody comparison with face and both-hand crops.} +\end{figure*} + +\begin{figure*}[t] + \centering + \includegraphics[width=.98\textwidth]{figures/source/sample_0_view_0.png} + \caption{Full external RenderPeople diagnostic. H3D and corrected LHM++ are coherent but differ in local smoothness; GIGA tears surfaces and GHGS-MVSC produces severe duplicated layers.} +\end{figure*} + +\section{External Benchmark Caveat} +Earlier RenderPeople experiments used incompatible body-model/world coordinates and image-space similarity repair. All v1--v12 metrics and panels from that path are permanently withdrawn. The reported v20/v21 comparison instead uses source-only no-scale SMPL-to-SMPL-X registration, raw calibrated cameras, and no target alignment. Even so, H3D's strict named-joint/part gate passes only 22/30 identities. We therefore retain the main-paper external benchmark table as a transparent generalization diagnostic rather than using it to claim universal superiority over LHM++. diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/supplementary.pdf b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/supplementary.pdf new file mode 100644 index 0000000000000000000000000000000000000000..1fedee59e4ef11c2eda05cfac8ce8c15993bd695 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/supplementary.pdf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f23a521a75d533091da3562cab1eb1de8ce24c26100dd260e8730735ba363cb0 +size 2242090 diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/supplementary.tex b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/supplementary.tex new file mode 100644 index 0000000000000000000000000000000000000000..10eda45517b89696dd812f5428465f88a09d3e1b --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper/supplementary.tex @@ -0,0 +1,19 @@ +\documentclass[10pt,twocolumn,letterpaper]{article} +\usepackage[review]{cvpr} +\input{preamble} +\definecolor{cvprblue}{rgb}{0.21,0.49,0.74} +\usepackage[pagebackref,breaklinks,colorlinks,allcolors=cvprblue]{hyperref} +\def\paperID{0000} +\def\confName{CVPR} +\def\confYear{2026} +\title{Human3Diffusion++: Supplementary Material} +\author{Anonymous CVPR Submission\\Paper ID 0000} +\begin{document} +\maketitle +\input{sec/X_suppl} +\clearpage +{\small +\bibliographystyle{ieeenat_fullname} +\bibliography{main} +} +\end{document} diff --git a/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper_Submission.zip b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper_Submission.zip new file mode 100644 index 0000000000000000000000000000000000000000..0e760f6559cf8020f40e43ca55dbefea85c6a65d --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/paper/CVPR2026_Human3Diffusion_Paper_Submission.zip @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:20398b9d8cdf631337213189ab7a7188077b6354cf14b0f1bf22efe491fb9006 +size 20533637 diff --git a/archives/human3diffusion_cvpr2026_20260901/tools/upload_cvpr2026_archive_to_hf_20260901.py b/archives/human3diffusion_cvpr2026_20260901/tools/upload_cvpr2026_archive_to_hf_20260901.py new file mode 100644 index 0000000000000000000000000000000000000000..2caf3a75f3aa80dff322806d04a2ff6f243eaad9 --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/tools/upload_cvpr2026_archive_to_hf_20260901.py @@ -0,0 +1,124 @@ +#!/usr/bin/env python3 +"""Upload the complete CVPR archive and verify it by a forced HF download.""" + +from __future__ import annotations + +import hashlib +import os +import shutil +import time +from pathlib import Path + +from huggingface_hub import HfApi, snapshot_download + + +REPO_ID = "linxin02/human" +REPO_TYPE = "dataset" +PATH_IN_REPO = "archives/human3diffusion_cvpr2026_20260901" +STAGING_ROOT = Path( + os.environ.get( + "H3D_ARCHIVE_STAGING_ROOT", + "/mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/" + "lx_human/hf_staging/human3diffusion_cvpr2026_20260901", + ) +) +VERIFY_ROOT = Path( + os.environ.get( + "H3D_ARCHIVE_VERIFY_ROOT", + "/mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/" + "lx_human/hf_verify/human3diffusion_cvpr2026_20260901", + ) +) + + +def file_sha256(path: Path) -> str: + digest = hashlib.sha256() + with path.open("rb") as handle: + for chunk in iter(lambda: handle.read(8 * 1024 * 1024), b""): + digest.update(chunk) + return digest.hexdigest() + + +def inventory(root: Path) -> dict[str, tuple[int, str]]: + result: dict[str, tuple[int, str]] = {} + for path in sorted(root.rglob("*")): + if path.is_file() and ".cache" not in path.parts: + result[path.relative_to(root).as_posix()] = ( + path.stat().st_size, + file_sha256(path), + ) + return result + + +def tree_sha256(items: dict[str, tuple[int, str]]) -> str: + digest = hashlib.sha256() + for relative, (size, checksum) in sorted(items.items()): + digest.update(f"{checksum} {size} {relative}\n".encode("utf-8")) + return digest.hexdigest() + + +def main() -> None: + token_path = Path.home() / ".hf_token" + if not token_path.is_file() or token_path.stat().st_size == 0: + raise RuntimeError("Missing ~/.hf_token") + token = token_path.read_text(encoding="utf-8").strip() + expected = inventory(STAGING_ROOT) + if not expected: + raise RuntimeError(f"Empty staging directory: {STAGING_ROOT}") + + api = HfApi(token=token) + for attempt in range(1, 7): + try: + api.upload_folder( + repo_id=REPO_ID, + repo_type=REPO_TYPE, + folder_path=str(STAGING_ROOT), + path_in_repo=PATH_IN_REPO, + commit_message=( + "Archive complete Human3Diffusion++ CVPR 2026 paper, " + "recovery manifest, and integrity records" + ), + ) + break + except Exception: + if attempt == 6: + raise + time.sleep(min(15 * (2 ** (attempt - 1)), 180)) + + if VERIFY_ROOT.exists(): + shutil.rmtree(VERIFY_ROOT) + VERIFY_ROOT.mkdir(parents=True, exist_ok=True) + snapshot_download( + repo_id=REPO_ID, + repo_type=REPO_TYPE, + token=token, + allow_patterns=[f"{PATH_IN_REPO}/**"], + local_dir=str(VERIFY_ROOT), + force_download=True, + ) + downloaded_root = VERIFY_ROOT / PATH_IN_REPO + actual = inventory(downloaded_root) + if actual != expected: + missing = sorted(set(expected) - set(actual)) + extra = sorted(set(actual) - set(expected)) + changed = sorted( + key + for key in set(expected) & set(actual) + if expected[key] != actual[key] + ) + raise RuntimeError( + f"HF verification mismatch: missing={missing}, extra={extra}, " + f"changed={changed}" + ) + + total_bytes = sum(size for size, _ in expected.values()) + print( + "H3D_CVPR2026_ARCHIVE_HF_VERIFY_OK " + f"repo={REPO_ID} prefix={PATH_IN_REPO} " + f"files={len(expected)} bytes={total_bytes} " + f"tree_sha256={tree_sha256(expected)}" + ) + + +if __name__ == "__main__": + main() diff --git a/archives/human3diffusion_cvpr2026_20260901/tools/verify_existing_hf_assets_20260901.py b/archives/human3diffusion_cvpr2026_20260901/tools/verify_existing_hf_assets_20260901.py new file mode 100644 index 0000000000000000000000000000000000000000..e1fd24bd6fcf4a79e3c35bfe7a3d9d5cd103f57f --- /dev/null +++ b/archives/human3diffusion_cvpr2026_20260901/tools/verify_existing_hf_assets_20260901.py @@ -0,0 +1,190 @@ +#!/usr/bin/env python3 +"""Audit existing Human3Diffusion assets on HF and force-verify key checkpoints.""" + +from __future__ import annotations + +import hashlib +import json +import os +from pathlib import Path + +from huggingface_hub import HfApi, RepoFile, RepoFolder, hf_hub_download + + +REPO_ID = "linxin02/human" +REPO_TYPE = "dataset" +EXPECTED = { + "selected_v14_e280": "eb5632bc0bb76b29fa753d13d20b68bf47d9bd0ff2446fe1d32db1fb48a146b4", + "v126_e282_pose_core": "4c5b224815bde6648d5268cb35d43d8ef0faf1e47290d1b58e3c107883d4543e", + "v127_e283_balanced": "fbaf358446e343cdfea92672cc0a992dd017ff5f649135a86ffabd11702ea079", + "v127_e284_pixel_first": "c15241a2e589d89c5eafc861b57cc2a2e7b02977d6921acd508eff204a6256e9", +} +EXPECTED_PATHS = { + "selected_v14_e280": ( + "experiments/h3d_surface_aligned_anatomy_renderer_v12_20260826/" + "surface_locked_v14/formal/checkpoint_epoch_0280/model.safetensors" + ), + "v126_e282_pose_core": ( + "experiments/h3d_selected_v14_animatable_relative_lbs_v126_20260831/" + "checkpoints/epoch_0282/model.safetensors" + ), + "v127_e283_balanced": ( + "experiments/h3d_selected_v14_animatable_occlusion_completion_v127_20260831/" + "final/checkpoints/e283_balanced/adapter.safetensors" + ), + "v127_e284_pixel_first": ( + "experiments/h3d_selected_v14_animatable_occlusion_completion_v127_20260831/" + "final/checkpoints/e284_pixel_first/adapter.safetensors" + ), +} +KEYWORDS = ( + "selected_v14", + "v126", + "v127", + "same_pose", + "paper_same_pose", + "external_v20", + "external_v21", + "giga", + "ghgs", + "realhumans", +) +AUDIT_PREFIXES = ( + "code", + "docs", + "experiments/h3d_original_native512_splat192_v1", + "experiments/h3d_surface_aligned_anatomy_renderer_v12_20260826", + "experiments/h3d_selected_v14_animatable_relative_lbs_v126_20260831", + "experiments/h3d_selected_v14_animatable_occlusion_completion_v127_20260831", + "experiments/paper_same_pose_sota_v1_20260830", + "experiments/project_handoff_20260819", +) +VERIFY_ROOT = Path( + os.environ.get( + "H3D_EXISTING_VERIFY_ROOT", + "/mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/" + "lx_human/hf_verify/existing_critical_20260901", + ) +) +OUTPUT = Path( + os.environ.get( + "H3D_EXISTING_INVENTORY_OUTPUT", + "/mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/" + "lx_human/hf_staging/human3diffusion_cvpr2026_20260901/manifests/" + "EXISTING_HF_ASSET_INVENTORY_20260901.json", + ) +) + + +def sha256(path: Path) -> str: + digest = hashlib.sha256() + with path.open("rb") as handle: + for chunk in iter(lambda: handle.read(8 * 1024 * 1024), b""): + digest.update(chunk) + return digest.hexdigest() + + +def lfs_sha(item: RepoFile) -> str | None: + info = getattr(item, "lfs", None) + if info is None: + return None + value = getattr(info, "sha256", None) + if value: + return str(value) + if isinstance(info, dict): + return info.get("sha256") + return None + + +def main() -> None: + token_path = Path.home() / ".hf_token" + if not token_path.is_file() or token_path.stat().st_size == 0: + raise RuntimeError("Missing ~/.hf_token") + token = token_path.read_text(encoding="utf-8").strip() + api = HfApi(token=token) + root_items = list( + api.list_repo_tree(REPO_ID, repo_type=REPO_TYPE, recursive=False) + ) + experiment_items = list( + api.list_repo_tree( + REPO_ID, + repo_type=REPO_TYPE, + path_in_repo="experiments", + recursive=False, + ) + ) + files = [item for item in root_items if isinstance(item, RepoFile)] + for prefix in AUDIT_PREFIXES: + files.extend( + item + for item in api.list_repo_tree( + REPO_ID, + repo_type=REPO_TYPE, + path_in_repo=prefix, + recursive=True, + expand=False, + ) + if isinstance(item, RepoFile) + ) + files_by_path = {item.path: item for item in files} + files = [files_by_path[path] for path in sorted(files_by_path)] + + VERIFY_ROOT.mkdir(parents=True, exist_ok=True) + verified = {} + for name, filename in EXPECTED_PATHS.items(): + downloaded = Path( + hf_hub_download( + repo_id=REPO_ID, + repo_type=REPO_TYPE, + filename=filename, + token=token, + local_dir=str(VERIFY_ROOT), + force_download=True, + ) + ) + actual = sha256(downloaded) + if actual != EXPECTED[name]: + raise RuntimeError( + f"Forced-download SHA mismatch for {name}: {actual}" + ) + verified[name] = { + "expected_sha256": EXPECTED[name], + "verified_path": filename, + "bytes": downloaded.stat().st_size, + } + + related = [] + for item in files: + lowered = item.path.lower() + if any(keyword in lowered for keyword in KEYWORDS): + related.append( + { + "path": item.path, + "bytes": item.size, + "lfs_sha256": lfs_sha(item), + } + ) + related.sort(key=lambda value: value["path"]) + payload = { + "repo_id": REPO_ID, + "repo_type": REPO_TYPE, + "audited_prefixes": list(AUDIT_PREFIXES), + "experiment_roots": sorted( + item.path for item in experiment_items if isinstance(item, RepoFolder) + ), + "critical_checkpoints": verified, + "related_file_count": len(related), + "related_total_bytes": sum(item["bytes"] or 0 for item in related), + "related_files": related, + } + OUTPUT.parent.mkdir(parents=True, exist_ok=True) + OUTPUT.write_text(json.dumps(payload, indent=2, sort_keys=True), encoding="utf-8") + print( + "H3D_EXISTING_HF_CRITICAL_VERIFY_OK " + f"checkpoints={len(verified)} related_files={len(related)} " + f"related_bytes={payload['related_total_bytes']}" + ) + + +if __name__ == "__main__": + main()