arXiv AI By Shinseong Kim, Jaeseok Jeong, Jianlong Fu, Youngjung Uh

World Models Need a Physical Registry: Learning Internal Predictive States for Physically Plausible World Models

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arXiv AI
Aug 18

SCOPE: Score-Isolated Agentic Optimization for Video World Models

arXiv:2608. 15043v1 Announce Type: new Abstract: Video world models are increasingly used as simulators for planning and embodied decision making, yet improving them at inference time introduces a subtle evaluation problem: prompts, samplers, verifiers, and selectors may evolve together, making it difficult to attribute gains or prevent held-out feedback from shaping the final policy.

By Yuhua Jiang, Jiaming Wang, Qingbin Liu, Feifei Gao
arXiv Computer Vision
Oct 1

Physis-Lang: Self-Evolving Language as a Physical Representation for Video World Model

arXiv:2609.40358v1 Announce Type: new Abstract: Video world models are expected to predict how the physical world evolves, yet they often produce visually plausible videos that violate basic physical...

By Liming Lu, Xianzheng Ma, Wenkun He, Guanqi Zhan, Yilin Zhao, Junyu Chen, Mengyao Xu, Jiaojiao Fan, Wenhang Ge, Yuchao Gu, Yunze Liu, Boyi Li, Zhen Dong, Victor Prisacariu, Ming-Yu Liu, Song Han, Han Cai