Papers › Intrinsic Image Harmonization
Intrinsic Image Harmonization
Zonghui Guo, Haiyong Zheng, Yufeng Jiang, Zhaorui Gu, Bing Zheng
Compositing an image usually inevitably suffers from inharmony problem that is mainly caused by incompatibility of foreground and background from two different images with distinct surfaces and lights, corresponding to material-dependent and light-dependent characteristics, namely, reflectance and illumination intrinsic images, respectively. Therefore, we seek to solve image harmonization via separable harmonization of reflectance and illumination, i.e., intrinsic image harmonization. Our method is based on an autoencoder that disentangles composite image into reflectance and illumination for further separate harmonization. Specifically, we harmonize reflectance through material-consistency penalty, while harmonize illumination by learning and transferring light from background to foreground, moreover, we model patch relations between foreground and background of composite images in an inharmony-free learning way, to adaptively guide our intrinsic image harmonization. Both extensive experiments and ablation studies demonstrate the power of our method as well as the efficacy of each component. We also contribute a new challenging dataset for benchmarking illumination harmonization. Code and dataset are at https://github.com/zhenglab/IntrinsicHarmony.
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 Harmonization | HAdobe5k(1024$\times$1024) | Intrinsic | MSE | 56.34 | #7 of 7 | Archive leaderboard | report |
| Image Harmonization | HAdobe5k(1024$\times$1024) | Intrinsic | PSNR | 34.69 | #7 of 7 | Archive leaderboard | report |
| Image Harmonization | HAdobe5k(1024$\times$1024) | Intrinsic | SSIM | 0.9471 | #7 of 7 | Archive leaderboard | report |
| Image Harmonization | HAdobe5k(1024$\times$1024) | Intrinsic | fMSE | 417.33 | #7 of 7 | Archive leaderboard | report |
| Image Harmonization | iHarmony4 | Intrinsic | MSE | 38.71 | #14 of 16 | Archive leaderboard | report |
| Image Harmonization | iHarmony4 | Intrinsic | PSNR | 35.90 | #14 of 16 | Archive leaderboard | report |
| Image Harmonization | iHarmony4 | Intrinsic | fMSE | 400.29 | #14 of 16 | 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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