Browse State-of-the-Art › Exposure Correction
Exposure Correction
20 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
20 shown of 20 papers with code (43 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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1 Jan 2023 2 repositories listedImages captured with irregular exposures inevitably present unsatisfactory visual effects, such as distorted hue and color tone.
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19 Apr 2021 2 repositories listedNotably, our proposed method aims to reconstruct an HDR image without knowing hardware information, including camera response function (CRF) and exposure settings.
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25 Mar 2020 2 repositories listedIn contrast, our proposed method targets both over- and underexposure errors in photographs.
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30 Oct 2019 2 repositories listedBy performing dual illumination estimation, we obtain two intermediate exposure correction results for the input image, with one fixes the underexposed regions and the other one restores the overexposed regions.
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26 Jun 2025 1 repository listedLearning-based methods have made promising advances in low-light RAW image enhancement, while their capability to extremely dark scenes where the environmental illuminance drops as low as 0.
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11 Jun 2025 1 repository listedImage exposure correction enhances images captured under diverse real-world conditions by addressing issues of under- and over-exposure, which can result in the loss of critical details and hinder content recognition.
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28 Oct 2024 1 repository listed Syntology ran 12 of 19 samples · 7 unverifiedInspired by Mamba which demonstrates powerful and highly efficient sequence modeling, we introduce a novel framework based on Mamba for Exposure Correction (ECMamba) with dual pathways, each dedicated to the restoration…
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11 Sep 2024 1 repository listedLow-light image enhancement, particularly in cross-domain tasks such as mapping from the raw domain to the sRGB domain, remains a significant challenge.
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19 Jun 2024 1 repository listedWhile researchers have discussed the challenges of low-light enhancement in WCE, the issue of correcting for different exposure levels remains underexplored.
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28 May 2024 1 repository listed Syntology ran 4 of 5 samples · 1 unverifiedWe further propose a novel COlor MOdulation (COMO) module to modulate the separately corrected colors in the over- and under-exposed regions to produce the enhanced image.
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6 May 2024 1 repository listedEqually important to the VEC is the Video Quality Assessment (VQA).
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28 Feb 2024 1 repository listed Syntology ran 4 of 9 samples · 5 unverifiedExposure correction aims to enhance images suffering from improper exposure to achieve satisfactory visual effects.
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27 Feb 2024 1 repository listedExposure correction aims to enhance visual data suffering from improper exposures, which can greatly improve satisfactory visual effects.
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1 Jan 2024 1 repository listedSpecifically the global transformation adjusts the overall appearance using image-adaptive 3D LUTs to provide decent global contrast and sharp details while the pixel transformation compensates for local context.
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15 Nov 2023 1 repository listedThe illumination of improperly exposed photographs has been widely corrected using deep convolutional neural networks or Transformers.
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8 Sep 2023 1 repository listedCapturing images with incorrect exposure settings fails to deliver a satisfactory visual experience.
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29 Sep 2022 1 repository listedThe proposed restoration approach achieves over 90% F1-Score which is significantly higher than the performance of any deep model.
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30 May 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverifiedChallenging illumination conditions (low-light, under-exposure and over-exposure) in the real world not only cast an unpleasant visual appearance but also taint the computer vision tasks.
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22 Apr 2022 1 repository listedWe show that after applying exposure correction with the proposed model, the portrait matting quality increases significantly.
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5 Mar 2022 1 repository listedFor image exposure enhancement, the tasks of Single-Exposure Correction (SEC) and Multi-Exposure Fusion (MEF) are widely studied in the image processing community.
Syntology lines on 4 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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