CoAMD unifies skeleton-based action recognition and text-to-motion generation through autoregressive diffusion guided by a multi-modal recognizer, reporting SOTA results on 13 benchmarks for four tasks.
Energymogen: Compositional human motion generation with energy-based diffusion model in latent space
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Marrying Text-to-Motion Generation with Skeleton-Based Action Recognition
CoAMD unifies skeleton-based action recognition and text-to-motion generation through autoregressive diffusion guided by a multi-modal recognizer, reporting SOTA results on 13 benchmarks for four tasks.