A diffusion model for music-to-dance that uses a neural distance field plausibility loss, a standing-pose prior, and foot-contact refinement to generate longer dances with better beat alignment and fewer artifacts.
A brand new dance partner: Music-conditioned pluralistic dancing controlled by multiple dance genres,
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PAMD: Plausibility-Aware Motion Diffusion Model for Long Dance Generation
A diffusion model for music-to-dance that uses a neural distance field plausibility loss, a standing-pose prior, and foot-contact refinement to generate longer dances with better beat alignment and fewer artifacts.