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ProMoDD: Dataset Distillation for 3D Human Motion via Prototype-Conditioned Diffusion Models
Dataset distillation (DD) aims to retain the training utility of a large dataset in a much smaller set of examples. For skeleton-based action recognition, this requires capturing discriminative motion variation without disrupting the geometry and temporal continuity of articulated bodies. Directly o
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