Recent coding large language models (LLMs) can synthesize dynamic 4D worlds from natural language, but the resulting content remains a visual artifact. It lacks physical semantics such as the collision geometry, mass, friction, inertia, and joint structure, required to enable it to simulate the physical world, and its...
Hao-Yu Zhang, Si-Ming Li, Ze-Yu Zhang et al.· 0 citations
VINCIE-NExT is introduced, a unified framework that transfers editing capability from images to videos through in-context visual demonstrations, alleviating the need for large-scale paired video editing data and provides principled test-time scaling.
Lei-Gang Qu, Feng Cheng, Zi-Yan Yang et al.· 0 citations
The results support frozen verification as a training signal for evidence selection, while showing that strict boundary precision remains comparatively weaker.
Ming-Wen Zhang, Ji-Sheng Dang, Min-Qiang Yang et al.· 0 citations
The results support on-policy self-distillation as an efficient and analyzable approach to diffusion post-training by converting image-level reward guidance into explicit and continually refreshed intermediate supervision, thereby opening a path toward more efficient and diagnosable alignment.
Weina Zhou, Xiongwei Zhu, Ling-Dong Kong et al.· 9 citations
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