RESEARCH PAPER

World Simulation with Video Foundation Models for Physical AI

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NVIDIA; :; Arslan Ali; Junjie Bai; Maciej Bala; Yogesh Balaji; Aaron Blakeman; Tiffany Cai; Jiaxin Cao; Tianshi Cao; Elizabeth Cha; Yu-Wei Chao; Prithvijit Chattopadhyay; Mike Chen; Yongxin Chen; Yu Chen; Shuai Cheng; Yin Cui; Jenna Diamond; Yifan Ding; Jiaojiao Fan; Linxi Fan; Liang Feng; Francesco Ferroni; Sanja Fidler; Xiao Fu; Ruiyuan Gao; Yunhao Ge; Jinwei Gu; Aryaman Gupta; Siddharth Gururani; Imad El Hanafi; Ali Hassani; Zekun Hao; Jacob Huffman; Joel Jang; Pooya Jannaty; Jan Kautz; Grace Lam; Xuan Li; Zhaoshuo Li; Maosheng Liao; Chen-Hsuan Lin; Tsung-Yi Lin; Yen-Chen Lin; Huan Ling; Ming-Yu Liu; Xian Liu; Yifan Lu; Alice Luo; Qianli Ma; Hanzi Mao; Kaichun Mo; Seungjun Nah; Yashraj Narang; Abhijeet Panaskar; Lindsey Pavao; Trung Pham; Morteza Ramezanali; Fitsum Reda; Scott Reed; Xuanchi Ren; Haonan Shao; Yue Shen; Stella Shi; Shuran Song; Bartosz Stefaniak; Shangkun Sun; Shitao Tang; Sameena Tasmeen; Lyne Tchapmi; Wei-Cheng Tseng; Jibin Varghese; Andrew Z. Wang; Hao Wang; Haoxiang Wang; Heng Wang; Ting-Chun Wang; Fangyin Wei; Jiashu Xu; Dinghao Yang; Xiaodong Yang; Haotian Ye; Seonghyeon Ye; Xiaohui Zeng; Jing Zhang; Qinsheng Zhang; Kaiwen Zheng; Andrew Zhu; Yuke Zhu

Classification

View four quadrants
Major category
Components of WAMs
Architecture
Not applicable
Prediction paradigm
Not applicable
Source review status
Verified from primary sources

Category review. Cosmos-Predict2.5 is a general text/visual-conditioned video foundation backbone with VAE latents, text embedding and flow-transformer generation; controlled and robot-action variants are adaptations. This technical report supplies the transferable Cosmos backbone explicitly intended by the component category. Reading evidence

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