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Yuting Guo

1 accepted papers

2026

MoCoDiff: A Controllable Autoregressive Diffusion Model for Expressive Motion Generation

CVPR 2026

Diffusion-based motion generation has advanced rapidly, but current methods still struggle with long-horizon consistency, style control, and multi-condition guidance. A major reason is the fused-conditioning design, where semantic, stylistic, and temporal signals share a single pathway, causing inte

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