Sign-language interpretation in public communication relies on qualified professional interpreters and can be difficult to scale, motivating robotic signing as a complementary accessibility interface. We present RoBoSTAR, a text-conditioned sign language production (SLP) framework for generating human-centric sign moti...
Yu-Jia Zeng, Chensheng Peng, Yu-Xin Chen et al.· 0 citations
World action models (WAMs) jointly predict actions (intent) and visual future (foresight). Standard training adds noise to recorded actions and video simultaneously, but such training paradigms introduce a mismatch: perturbed actions imply counterfactual future visual, while the noised video remains tied to the GT reco...
Chensheng Peng, Wen-Hao Ding, Ran Tian et al.· 0 citations
The UniQueR model learns a compact set of 3D anchor points that act as explicit geometric queries, enabling the network to infer scene structure, including geometry in occluded regions--in a single forward pass.
Chensheng Peng, Quentin Herau, Jiezhi Yang et al.· arXiv.org· 3 citations
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