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AnimateScene: Camera-controllable Animation in Any Scene

2025-08-08 · Qingyang Liu, Bingjie Gao, Weiheng Huang, Jun Zhang, Zhongqian Sun, Yang Wei, Fengrui Liu, Zelin Peng, Qianli Ma, Shuai Yang, Zhaohe Liao, Haonan Zhao, Li Niu arxiv

Recent advances in 3D scene reconstruction and 4D human animation have broadened adoption, but integrating the two remains difficult. Key challenges include placing humans at plausible locations and scales without interpenetration, aligning lighting and style between humans and background, and handling dynamic camera trajectories. We introduce AnimateScene, a unified framework addressing these issues. First, an accurate placement module automatically determines realistic 3D positions and prevents collisions during motion. Second, we propose a training-free style alignment method that adapts the 4D human to match background illumination and appearance, achieving coherent composites. Finally, we design a joint post-reconstruction approach that incorporates camera trajectories for smooth, visually engaging motion videos. Experiments across diverse scenes and actions demonstrate that AnimateScene generates dynamic results with high geometric detail and strong spatiotemporal coherence. The project page is available at https://whynothaha.github.io/AnimateScene/AnimateScene.html.

📄 PDF Abstract BibTeX arXiv:2508.05982

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