Certain Gaussian initial noises act as winning tickets that bias motion diffusion toward specific semantics; retrieving and KL-refining them improves text-motion alignment without retraining.
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Retrieving and Refining Winning Noise Tickets for Diffusion-Based Motion Generation
Certain Gaussian initial noises act as winning tickets that bias motion diffusion toward specific semantics; retrieving and KL-refining them improves text-motion alignment without retraining.