Browse State-of-the-Art › Image Harmonization
Image Harmonization
46 papers with code · 3 benchmarks · 2 datasets archive 2025-07-28
Image harmonization aims to modify the color of the composited region with respect to the specific background.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| iHarmony4 (16 rows) | PHNet | PHNet: Patch-based Normalization for Portrait Harmonization | — | — | Compare |
| HAdobe5k(1024×1024) (7 rows) | DucoNet | Deep Image Harmonization in Dual Color Spaces | code | — | Compare |
| FFHQH (1 row) | PHNet | PHNet: Patch-based Normalization for Portrait Harmonization | — | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 46 papers with code (93 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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28 Jun 2021 6 repositories listed Syntology ran 3 of 15 samples · 12 unverified · 3 pointer-only (licence)Image composition task could be decomposed into multiple sub-tasks, in which each sub-task targets at one or more issues.
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13 Sep 2021 2 repositories listedTo this end, we propose a novel spatial-separated curve rendering network(S²CRNet) for efficient and high-resolution image harmonization for the first time.
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28 Feb 2017 2 repositories listedCompositing is one of the most common operations in photo editing.
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6 May 2025 1 repository listedHarmonization of T1-weighted MR images across different scanners is crucial for ensuring consistency in neuroimaging studies.
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24 Oct 2024 1 repository listed Syntology ran 2 of 10 samples · 8 unverified · 10 pointer-only (licence)This paper introduces Bifr\"ost, a novel 3D-aware framework that is built upon diffusion models to perform instruction-based image composition.
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6 Jul 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)We offer a novel approach to image composition, which integrates multiple input images into a single, coherent image.
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19 Apr 2024 1 repository listedTF-GPH incorporates a novel ``Similarity Disentangle Mask'', which disentangles the foreground content and background image by redirecting their attention to corresponding reference images, enhancing the attention…
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9 Apr 2024 1 repository listed Syntology ran 7 of 10 samples · 3 unverified · 10 pointer-only (licence)To deal with these issues, in this paper, we first adapt a pre-trained latent diffusion model to the image harmonization task to generate the harmonious but potentially blurry initial images.
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5 Feb 2024 1 repository listedIn this study, we introduce IGUANe (Image Generation with Unified Adversarial Networks), an original 3D model that leverages the strengths of domain translation and straightforward application of style transfer methods…
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15 Dec 2023 1 repository listedPainterly image harmonization aims to harmonize a photographic foreground object on the painterly background.
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15 Dec 2023 1 repository listedIn particular, we learn a mapping from background style and object information to object style based on painterly objects in artistic paintings.
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6 Dec 2023 1 repository listedDespite significant advancements in network-based image harmonization techniques, there still exists a domain disparity between typical training pairs and real-world composites encountered during inference.
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19 Aug 2023 1 repository listed Syntology ran 14 of 15 samples · 1 unverified · 2 pointer-only (licence)To address these challenges, we propose a controllable image composition method that unifies four tasks in one diffusion model: image blending, image harmonization, view synthesis, and generative composition.
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5 Aug 2023 1 repository listedThe network comprises a RGB harmonization backbone, an Lab encoding module, and an Lab control module.
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4 Aug 2023 1 repository listed Syntology ran 13 of 16 samples · 3 unverifiedPainterly image harmonization aims to insert photographic objects into paintings and obtain artistically coherent composite images.
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1 Aug 2023 1 repository listed Syntology ran 8 of 8 samples · 0 unverified · 8 pointer-only (licence)In particular, our designed SYthetic COmposite Network (SycoNet) takes in a real image with foreground mask and a random vector to learn suitable color transformation, which is applied to the foreground of this real…
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1 Aug 2023 1 repository listedGiven a composite image, image harmonization aims to adjust the foreground illumination to be consistent with background.
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17 Jul 2023 1 repository listedInitially, we employ a pretrained vision-language model (VLM) to generate descriptions for the composite image.
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2 Jul 2023 1 repository listedIn this paper, we propose a foreground harmonization framework (ARHNet) to tackle intensity disparities and make synthetic images look more realistic.
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18 May 2023 1 repository listedThese differences in images create a domain gap that needs to be bridged by a step called image harmonization, to process the images successfully using conventional or deep learning-based image analysis (e.
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4 Apr 2023 1 repository listedDevelopment of MR harmonization has enabled different contrast MRIs to be synthesized while preserving the underlying anatomy.
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23 Mar 2023 1 repository listedIn this paper, we present a Neural Preset technique to address the limitations of existing color style transfer methods, including visual artifacts, vast memory requirement, and slow style switching speed.
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3 Mar 2023 1 repository listedHigh-resolution (HR) image harmonization is of great significance in real-world applications such as image synthesis and image editing.
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1 Jan 2023 1 repository listedThe key idea is to learn a parameter network that uses downsampled input images to predict the parameters for pixel-wise color transforms (PCTs) which are applied to each pixel in the full-resolution image.
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17 Dec 2022 1 repository listedIn this work, we propose a novel painterly harmonization network consisting of a dual-domain generator and a dual-domain discriminator, which harmonizes the composite image in both spatial domain and frequency domain.
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16 Nov 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedThe MGD effectively applies distinct convolution to the foreground and background, learning the representations of foreground and background regions as well as their correlations to the global harmonization,…
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30 Sep 2022 1 repository listedInharmonious region localization aims to localize the region in a synthetic image which is incompatible with surrounding background.
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24 Jul 2022 1 repository listedExperiments have been conducted on our constructed benchmarks to verify that our proposed operator mask-based framework can locate and modify the inharmonious regions in more complex scenes.
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11 Jul 2022 1 repository listedImage color harmonization algorithm aims to automatically match the color distribution of foreground and background images captured in different conditions.
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4 Jul 2022 1 repository listedUnlike prior methods that are based on black-box autoencoders, Harmonizer contains a neural network for filter argument prediction and several white-box filters (based on the predicted arguments) for image harmonization.
Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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