Kerui Chen

2 accepted papers

2025

BVINet: Unlocking Blind Video Inpainting with Zero Annotations

Zhiliang Wu, Kerui Chen, Kun Li, Hehe Fan, Yi Yang

ICCV 2025poster

Video inpainting aims to fill in corrupted regions of the video with plausible contents. Existing methods generally assume that the locations of corrupted regions are known, focusing primarily on the "how to inpaint". This reliance necessitates manual annotation of the corrupted regions using binary…

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2025

Prompt-Aware Controllable Shadow Removal

Kerui Chen, Zhiliang Wu, Wenjin Hou, Kun Li, Hehe Fan, Yi Yang

IJCAI 2025

Shadow removal aims to restore the image content in shadowed regions. While deep learning-based methods have shown promising results, they still face key challenges: 1) uncontrolled removal of all shadows, or 2) controllable removal but heavily relies on precise shadow region masks. To address these

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