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DyMD: Preserving Interaction Dynamics through Distribution Matching Distillation in Few-Step Video World Models
Large video diffusion models offer expressive priors for embodied prediction and learning, yet their many-step sampling remains costly for interactive downstream use. Distribution Matching Distillation (DMD) enables few-step video generation, but can suppress robot--object motion while preserving vi
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