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Motion-Omni
Training and evaluation data for Motion-Omni: End-to-End Joint Speech and Full-Body Motion for Spoken Dialogue.
Chengqian Ma1 · Wei Tao2 · Haoyu Zhang3 · Yiwen Guo4,*
1Peking University · 2LIGHTSPEED · 3The Chinese University of Hong Kong, Shenzhen · 4Independent Researcher *Corresponding author
Code: github.com/step-out/Motion-Omni
Status
We are preparing the release and expect to publish it by December 2026.
What will be released
Training pairs — 422,856 samples, 1,402 hours. Each pair holds a spoken instruction response in a consistent target voice together with co-speech motion: facial expression plus hand, upper-body and lower-body movement. The motion is produced by running a reusable motion teacher over every response waveform of a speech-instruction corpus, then scored with a dual-metric quality measure that also induces the training curriculum. The quality ranking will be included, since the curriculum cannot be reproduced without it.
Motion is stored as SMPL-X body parameters with FLAME facial expression coefficients.
SwDA-500. The evaluation prompt set: 500 open-ended conversational prompts drawn from an external corpus, so the evaluation is not scored on prompts the model was tuned against.
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