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WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 17 -
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Paper • 2401.09962 • Published • 9 -
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
Paper • 2401.10404 • Published • 10 -
ActAnywhere: Subject-Aware Video Background Generation
Paper • 2401.10822 • Published • 13
Collections
Discover the best community collections!
Collections including paper arxiv:2408.00762
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WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 17 -
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Paper • 2401.09962 • Published • 9 -
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
Paper • 2401.10404 • Published • 10 -
ActAnywhere: Subject-Aware Video Background Generation
Paper • 2401.10822 • Published • 13
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MVDream: Multi-view Diffusion for 3D Generation
Paper • 2308.16512 • Published • 106 -
Learning Disentangled Avatars with Hybrid 3D Representations
Paper • 2309.06441 • Published • 5 -
Dynamic Mesh-Aware Radiance Fields
Paper • 2309.04581 • Published • 7 -
Towards Practical Capture of High-Fidelity Relightable Avatars
Paper • 2309.04247 • Published • 10
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Video as the New Language for Real-World Decision Making
Paper • 2402.17139 • Published • 21 -
Learning and Leveraging World Models in Visual Representation Learning
Paper • 2403.00504 • Published • 32 -
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies
Paper • 2403.01422 • Published • 29 -
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
Paper • 2403.05438 • Published • 19
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Idempotent Generative Network
Paper • 2311.01462 • Published • 25 -
Adaptive Shells for Efficient Neural Radiance Field Rendering
Paper • 2311.10091 • Published • 19 -
Generative Powers of Ten
Paper • 2312.02149 • Published • 7 -
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion
Paper • 2312.04433 • Published • 10
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WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 17 -
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Paper • 2401.09962 • Published • 9 -
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
Paper • 2401.10404 • Published • 10 -
ActAnywhere: Subject-Aware Video Background Generation
Paper • 2401.10822 • Published • 13
-
Video as the New Language for Real-World Decision Making
Paper • 2402.17139 • Published • 21 -
Learning and Leveraging World Models in Visual Representation Learning
Paper • 2403.00504 • Published • 32 -
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies
Paper • 2403.01422 • Published • 29 -
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
Paper • 2403.05438 • Published • 19
-
WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 17 -
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Paper • 2401.09962 • Published • 9 -
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
Paper • 2401.10404 • Published • 10 -
ActAnywhere: Subject-Aware Video Background Generation
Paper • 2401.10822 • Published • 13
-
Idempotent Generative Network
Paper • 2311.01462 • Published • 25 -
Adaptive Shells for Efficient Neural Radiance Field Rendering
Paper • 2311.10091 • Published • 19 -
Generative Powers of Ten
Paper • 2312.02149 • Published • 7 -
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion
Paper • 2312.04433 • Published • 10
-
MVDream: Multi-view Diffusion for 3D Generation
Paper • 2308.16512 • Published • 106 -
Learning Disentangled Avatars with Hybrid 3D Representations
Paper • 2309.06441 • Published • 5 -
Dynamic Mesh-Aware Radiance Fields
Paper • 2309.04581 • Published • 7 -
Towards Practical Capture of High-Fidelity Relightable Avatars
Paper • 2309.04247 • Published • 10