CVPR 2025 "world models" Papers

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DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Guosheng Zhao, Chaojun Ni, Xiaofeng Wang et al.

CVPR 2025posterarXiv:2410.13571
84
citations

Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning

Chenjie Hao, Weyl Lu, Yifan Xu et al.

CVPR 2025posterarXiv:2504.07095
5
citations