Papers › CR-Fill: Generative Image Inpainting With Auxiliary Contextual Reconstruction
CR-Fill: Generative Image Inpainting With Auxiliary Contextual Reconstruction
Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel
Recent deep generative inpainting methods use attention layers to allow the generator to explicitly borrow feature patches from the known region to complete a missing region. Due to the lack of supervision signals for the correspondence between missing regions and known regions, it may fail to find proper reference features, which often leads to artifacts in the results. Also, it computes pair-wise similarity across the entire feature map during inference bringing a significant computational overhead. To address this issue, we propose to teach such patch-borrowing behavior to an attention-free generator by joint training of an auxiliary contextual reconstruction task, which encourages the generated output to be plausible even when reconstructed by surrounding regions. The auxiliary branch can be seen as a learnable loss function, i.e. named as contextual reconstruction (CR) loss, where query-reference feature similarity and reference-based reconstructor are jointly optimized with the inpainting generator. The auxiliary branch (i.e. CR loss) is required only during training, and only the inpainting generator is required during the inference. Experimental results demonstrate that the proposed inpainting model compares favourably against the state-of-the-art in terms of quantitative and visual performance. Code is available at https://github.com/zengxianyu/crfill.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Image Inpainting | Places2 | CR-Fill | FID | 9.657 | #9 of 14 | Archive leaderboard | report |
| Image Inpainting | Places2 | CR-Fill | LPIPS | 0.233 | #9 of 14 | Archive leaderboard | report |
| Image Inpainting | Places2 | CR-Fill | P-IDS | 5.53 | #9 of 14 | Archive leaderboard | report |
| Image Inpainting | Places2 | CR-Fill | U-IDS | 22.90 | #9 of 14 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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