AnimateScene: Camera-Controllable Animation in Any Scene

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 this https URL.

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Publication Details

Published
2026-04-21
DOI
https://doi.org/10.1109/icassp55912.2026.11462292
Primary Topic
Human Motion and Animation
Type
article
Field-Weighted Citation Impact
0.00

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article

AnimateScene: Camera-Controllable Animation in Any Scene

Zelin Peng, Li Niu, Zhongqian Sun, Weiheng Huang et al.
Human Motion and Animation
article

AnimateScene: Camera-Controllable Animation in Any Scene

Zelin Peng, Li Niu, Zhongqian Sun, Weiheng Huang, Shuai Yang, Qianli Ma, Haonan Zhao, Jun Zhang, Wei Yang, Q. Liu, Zhaohe Liao
article en

Abstract

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 this https URL.

Shanghai Jiao Tong University (CN), Tencent (China) (CN), East China Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 99%
Human Motion and Animation
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