Author

Wei Yang

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Preprint Sep 2026

MoVT: Video-Augmented Motion Tokenizer for Text-to-Motion Generation

MoVT is introduced, a novel framework that effectively leverages the extensive range of human action videos to enhance text-to-motion generation and performs favorably against prior state-of-the-art methods across multiple key metrics.

Bei-Bei Jing, Tian-Le Guo, You-Jia Zhang et al. · 0 citations

Preprint Aug 2026

UniMoFlow: Grounding Instruction-Driven 3D Human Motion Editing in Generation

A closed-loop synthesis-and-verification pipeline that produces Omni-MoEdit, a large-scale dataset spanning body-part, amplitude, temporal, action, and style edits, and a unified latent flow-matching model that shares broad semantic and kinematic knowledge between generation and editing is developed.

Yilei Hua, Bei-Bei Jing, Ce Zheng et al. · 0 citations