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.
Groovenet: Real-time music-driven dance movement generation using artificial neural networks.networks, 8(17):26, 2017
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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.