MotionRAG-Diff combines contrastive retrieval from a motion graph with a diffusion model to generate long music-synchronized dance, reporting strong beat alignment but mixed quality scores.
Momask: Generative masked modeling of 3d human motions
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MotionRAG-Diff: A Retrieval-Augmented Diffusion Framework for Long-Term Music-to-Dance Generation
MotionRAG-Diff combines contrastive retrieval from a motion graph with a diffusion model to generate long music-synchronized dance, reporting strong beat alignment but mixed quality scores.