metadata
license: mit
DK-VLM Models
DK-VLM introduces geometry as position through Dual-Kernel Attention to improve spatial reasoning in vision-language models.
This repository provides 7B and 8B incremental checkpoints, containing LoRA adapters and geometric branch weights. Download the corresponding Qwen base model and VGGT-Omega weights separately.
See GitHub for inference and evaluation instructions.
Citation
@misc{su2026dkvlmgeometrypositionspatial,
title={DK-VLM: Geometry as Position for Spatial Reasoning in Vision-Language Models},
author={Han Su and Meng Tian and Tianyu Huang and Mingyu Gao and Lennox Wei and Dongxu Li and Jianhua Han and Hang Xu and Xiaohe Wu and Wangmeng Zuo},
year={2026},
eprint={2610.22356},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2610.22356},
}