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About this paper
Yuanpeng Tu, Hao Luo, Xi Chen, Sihui Ji, Xiang Bai, Hengshuang Zhao
VideoAnydoor is an end-to-end zero-shot framework for high-fidelity video object insertion that maintains object identity and provides precise motion control. It surpasses current methods in both identity preservation and motion consistency through novel components like an ID Extractor and a Pixel Warper, as demonstrated through quantitative metrics and user studies.
Key insights
- Injecting global identity features from a powerful visual encoder (DINOv2) helps maintain object appearance consistency across frames.
- A novel pixel warper, guided by key-point trajectories, enables fine-grained control over the inserted object's pose and appearance, preventing distortion.
- An image-video mixed training strategy effectively addresses video data scarcity, improving robustness and fine-grained detail reconstruction.
Summary by alphaXiv.
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