Browse State-of-the-Art › Image Retouching
Image Retouching
10 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
10 shown of 10 papers with code (19 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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17 Jul 2022 2 repositories listed Syntology ran 5 of 5 samples · 0 unverifiedThe neural color operator mimics the behavior of traditional color operators and learns pixelwise color transformation while its strength is controlled by a scalar.
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10 Jul 2017 2 repositories listedFor this, we introduce a new neural network architecture inspired by bilateral grid processing and local affine color transforms.
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28 Mar 2024 1 repository listedExisting enhancement models often optimize for high performance while falling short of reducing hardware inference time and power consumption, especially on edge devices with constrained computing and storage resources.
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10 Oct 2023 1 repository listedIn this paper, we formulate the enhancement into a signal modulation problem and propose the WaveNet architecture, which performs well in various parameters and improves the feature expression using wave-like feature…
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26 Aug 2023 1 repository listed Syntology ran 7 of 11 samples · 4 unverifiedExisting methods typically work well on their trained lightness conditions but perform poorly in unknown ones due to their limited generalization ability.
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15 Mar 2023 1 repository listed Syntology ran 3 of 12 samples · 9 unverified · 12 pointer-only (licence)Therefore, there is a need for white-box approaches that produce satisfying results and enable users to conveniently edit their images simultaneously.
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12 Jul 2022 1 repository listedIn particular, the style encoder predicts the target style representation of an input image, which serves as the conditional information in the RetouchNet for retouching, while the TSFlow maps the style representation…
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30 Sep 2020 1 repository listedThe small CNN works on the down-sampled version of the input image to predict content-dependent weights to fuse the multiple basis 3D LUTs into an image-adaptive one, which is employed to transform the color and tone of…
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22 Sep 2020 1 repository listedThe base network acts like an MLP that processes each pixel independently and the condition network extracts the global features of the input image to generate a condition vector.
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1 Dec 2019 1 repository listedWe collected large-scale manipulated image dataset to train our model.
Syntology lines on 3 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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