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Shao-Feng Zhang

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#artificial intelligence Preprint Sep 2026

TriWorldBench: A Tri-View Consistency Perspective on Embodied World Models

TRWORLDBENCH is introduced, a benchmark for evaluating embodied world models through synchronized head, left-wrist, and right-wrist videos and uses 19 metrics to assess tri-view consistency, task alignment, physical and 3D coherence, motion quality, temporal consistency, and visual quality.

Xuan-Yi Liu, Hao-Feng Wang, Rui-Qi Li et al. · 0 citations

Preprint Jul 2026

Enhancing Video Physical Consistency via Role-aware Joint Training and Modality-decoupled Denoising

A role-aware signal that groups entities into agents, controlled objects, passive objects, and background, so that different physical roles can be modeled more clearly is introduced, and a modality-decoupled denoising strategy, where the visual and auxiliary channels are assigned independent noise levels, is proposed.

Guangting Zheng, Haojing Chen, Hao Li et al. · 2 citations