Chenxuan Miao — accepted AI-conference papers

2026

GenieDrive: Towards Physics-Aware Driving World Model with 4D Occupancy Guided Video Generation

Zhenya Yang, Zhe Liu, Yuxiang Lu, Liping Hou, Chenxuan Miao, Siyi Peng +3

CVPR 2026

Physics-aware driving world model is essential for drive planning, out-of-distribution data synthesis, and closed-loop evaluation. However, existing methods often rely on a single diffusion model to directly map driving actions to videos, which makes learning difficult and leads to physically incons

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2025

ROSE: Remove Objects with Side Effects in Videos

Chenxuan Miao, Yutong Feng, Jianshu Zeng, Zixiang Gao, Liu Hantang, Yunfeng Yan +4

NeurIPS 2025poster

Video object removal has achieved advanced performance due to the recent success of video generative models. However, when addressing the side effects of objects, \textit{e.g.,} their shadows and reflections, existing works struggle to eliminate these effects for the scarcity of paired video data as…

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