CVPR Findings2026
Exploring Physics-aware Video Generation through Reinforcement Learning with Autoregressive Tokens
Wang Lin, Liyu Jia, Wentao Hu, Kaihang Pan, Zhongqi Yue, Fengda Zhang, Wei Zhao, Jingyuan Chen, Fei Wu, Hanwang Zhang
问 Lune
尽管问，回答都注明出处。
Lune 会读相关的 Paper，每个回答都附上所依据的原文段落。
相关 Paper
- Video Inspector: An Agentic-RL Framework and Benchmark for Human-Aligned Generative Video EvaluationJacey Somers, Harrison Zale, Janine Mason, Tina Walker, Eddie Quinn, Felix Lewis, Gavin Wright, Yvonne Young, Charles Sullivan, Wayne Carter, Julian FosterCVPR Findings 2026
- LoViC: Efficient Long Video Generation with Context CompressionJiaxiu Jiang, Wenbo Li, Jingjing Ren, Yuping Qiu, Renjing Pei, Fenglong Song, Yong Guo, Xiaogang Xu, Han Wu, Wangmeng ZuoCVPR Findings 2026
- PhysVid: Physics Aware Local Conditioning for Generative Video ModelsSaurabh Pathak, Elahe Arani, Mykola Pechenizkiy, Bahram ZonoozCVPR 2026 · 6 次引用
- Dream Video: Composing Your Dream Videos with Customized Subject and MotionYujie Wei, Shiwei Zhang, Zhiwu Qing, Hangjie Yuan 等CVPR 2024
- PHANTOM: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical DynamicsYing Shen, Jerry Xiong, Tianjiao Yu, Ismini LourentzouCVPR 2026 · 12 次引用
