Papers › Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao, Jonathan Cui, Yilun Sheng, Yue Dong, Xiao Liang, Eric I Chang, Yan Xu
Numerous task-specific variants of conditional generative adversarial networks have been developed for image completion. Yet, a serious limitation remains that all existing algorithms tend to fail when handling large-scale missing regions. To overcome this challenge, we propose a generic new approach that bridges the gap between image-conditional and recent modulated unconditional generative architectures via co-modulation of both conditional and stochastic style representations. Also, due to the lack of good quantitative metrics for image completion, we propose the new Paired/Unpaired Inception Discriminative Score (P-IDS/U-IDS), which robustly measures the perceptual fidelity of inpainted images compared to real images via linear separability in a feature space. Experiments demonstrate superior performance in terms of both quality and diversity over state-of-the-art methods in free-form image completion and easy generalization to image-to-image translation. Code is available at https://github.com/zsyzzsoft/co-mod-gan.
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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 | CelebA-HQ | CoModGAN | FID | 5.65 | #3 of 6 | Archive leaderboard | report |
| Image Inpainting | CelebA-HQ | CoModGAN | P-IDS | 11.23 | #3 of 6 | Archive leaderboard | report |
| Image Inpainting | CelebA-HQ | CoModGAN | U-IDS | 22.54 | #3 of 6 | Archive leaderboard | report |
| Image Inpainting | FFHQ 512 x 512 | CoModGAN | FID | 3.7 | #3 of 3 | Archive leaderboard | report |
| Image Inpainting | FFHQ 512 x 512 | CoModGAN | P-IDS | 16.6% | #3 of 3 | Archive leaderboard | report |
| Image Inpainting | FFHQ 512 x 512 | CoModGAN | U-IDS | 29.4% | #3 of 3 | Archive leaderboard | report |
| Image Inpainting | Places2 | CoModGAN | FID | 2.92 | #4 of 14 | Archive leaderboard | report |
| Image Inpainting | Places2 | CoModGAN | P-IDS | 19.64 | #4 of 14 | Archive leaderboard | report |
| Image Inpainting | Places2 | CoModGAN | U-IDS | 35.78 | #4 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.
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