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MotionSpaceFlow: Representation-Aware Flow Matching in Direct Motion Space
Recent advances in diffusion and flow models have substantially improved text-driven human motion generation. Yet most methods generate in low-dimensional, temporally downsampled latent spaces learned primarily for reconstruction, a bottleneck that can limit generation quality and preclude direct ma
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