Parasitic Co-Denoising: Unlocking 3D Human Motion Generation in a Frozen Video Diffusion Model
cs.CV
Submitted: 2026-10-02
Updated: 2026-10-02
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Label-Efficient Semantic Segmentation with Diffusion Models
- MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models
- Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
- Auto-Encoding Variational Bayes
- HunyuanVideo: A Systematic Framework For Large Video Generative Models
- The Quest for Generalizable Motion Generation: Data, Model, and Evaluation
- HY-Motion 1.0: Scaling Flow Matching Models for Text-To-Motion Generation
- Human Motion Diffusion Model
- Wan: Open and Advanced Large-Scale Video Generative Models
- EchoMotion: Unified Human Video and Motion Generation via Dual-Modality Diffusion Transformer
- CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
- MotionVLA: Vision-Language-Action Model for Humanoid Motion
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