TRACE decouples latents with coupled updates, topping InterAct contact metrics in authors' own tests

Splitting body, object and hand motion into separate latents with coupled updates, the authors' own tests put TRACE at the top of contact precision, recall and F1 on InterAct among compared methods.

Earlier methods lacked such per-stream modelling; the framework, named TRACE, encodes the three streams separately, predicts each stream's velocity from the complete interaction state, and applies geometric losses on decoded motion to constrain contact and object-relative movement, and the same model can complete any single missing stream from the other two.

The authors report on InterAct, OMOMO and BEHAVE that joint completion training improves generation and that frozen flow features improve interaction understanding; the abstract claims the InterAct lead but gives no margin, hardware or training scale, and notes no third-party reproduction, so these are the authors' own results.

The preprint was submitted on 26 September and revised to v2 on 29 September, with no third-party reproduction yet.