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Qing Yu

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Preprint Jul 2026

Retrieving and Refining Winning Noise Tickets for Diffusion-Based Motion Generation

Diffusion-based text-to-motion models synthesize realistic human motions but often exhibit semantic drift from the input text. Motion is inherently temporal, especially in compositional and long-duration sequences that require semantic consistency across multiple action segments and smooth kinematic transitions through...

Sakuya Ota, Qing Yu, Kent Fujiwara et al. · 0 citations

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