Browse State-of-the-Art › Low-Light Image Enhancement
Low-Light Image Enhancement
181 papers with code · 22 benchmarks · 23 datasets archive 2025-07-28
Low-Light Image Enhancement is a computer vision task that involves improving the quality of images captured under low-light conditions. The goal of low-light image enhancement is to make images brighter, clearer, and more visually appealing, without introducing too much noise or distortion.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
22 leaderboard tables shown for this task, 22 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. 10 shown of 22 until expanded.
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
23 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 181 papers with code (316 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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8 Dec 2015 221 repositories listed Syntology ran 19 of 131 samples · 112 unverified · 5 pointer-only (licence)Experimental results on the PASCAL VOC, MS COCO, and ILSVRC datasets confirm that SSD has comparable accuracy to methods that utilize an additional object proposal step and is much faster, while providing a unified…
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9 Nov 2015 21 repositories listed Syntology ran 0 of 18 samples · 18 unverifiedSemantic segmentation is an important tool for visual scene understanding and a meaningful measure of uncertainty is essential for decision making.
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19 Jan 2020 13 repositories listed Syntology ran 1 of 16 samples · 15 unverifiedThe paper presents a novel method, Zero-Reference Deep Curve Estimation (Zero-DCE), which formulates light enhancement as a task of image-specific curve estimation with a deep network.
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17 Jun 2019 8 repositories listedDeep learning-based methods have achieved remarkable success in image restoration and enhancement, but are they still competitive when there is a lack of paired training data?
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12 Nov 2015 6 repositories listedIn surveillance, monitoring and tactical reconnaissance, gathering the right visual information from a dynamic environment and accurately processing such data are essential ingredients to making informed decisions which…
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12 Mar 2023 5 repositories listed Syntology ran 2 of 10 samples · 8 unverifiedWhen enhancing low-light images, many deep learning algorithms are based on the Retinex theory.
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4 May 2019 4 repositories listedIt is worth to note that our network is trained with paired images shot under different exposure conditions, instead of using any ground-truth reflectance and illumination information.
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22 Apr 2024 3 repositories listedThis paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results.
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9 Jan 2022 3 repositories listed Syntology ran 27 of 46 samples · 19 unverifiedIn this work, we present a multi-axis MLP based architecture called MAXIM, that can serve as an efficient and flexible general-purpose vision backbone for image processing tasks.
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21 Apr 2021 3 repositories listedLow-light image enhancement (LLIE) aims at improving the perception or interpretability of an image captured in an environment with poor illumination.
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29 Sep 2019 3 repositories listedIn this paper, we propose Test-Time Training, a general approach for improving the performance of predictive models when training and test data come from different distributions.
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2 Aug 2019 3 repositories listedLow-light image enhancement is challenging in that it needs to consider not only brightness recovery but also complex issues like color distortion and noise, which usually hide in the dark.
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14 Aug 2018 3 repositories listedBased on the decomposition, subsequent lightness enhancement is conducted on illumination by an enhancement network called Enhance-Net, and for joint denoising there is a denoising operation on reflectance.
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29 May 2018 3 repositories listedThus, we propose the Exclusively Dark dataset to elevate this data drought, consisting exclusively of ten different types of low-light images (i.
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26 Jan 2024 2 repositories listedThis letter introduces LYT-Net, a novel lightweight transformer-based model for low-light image enhancement (LLIE).
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19 Jan 2024 2 repositories listedTo capture the longrange dependency of features without introducing excessive computational complexity, we present the Global Feature Modulation Layer (GFML).
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8 Jan 2024 2 repositories listedMoreover, to further promote the effective recovery of the image details, we combine the Fourier transform based on the wavelet transform and construct a Hybrid High Frequency Perception Module (HFPM) with a significant…
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28 Sep 2023 2 repositories listedSpecifically, the proposed method, so-called Joint Correcting and Refinement Network (JCRNet), which mainly consists of three stages to balance brightness, color, and illumination of enhancement.
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15 Sep 2023 2 repositories listedReal-time transportation surveillance is an essential part of the intelligent transportation system (ITS).
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17 Jun 2023 2 repositories listedImage restoration is a low-level visual task, and most CNN methods are designed as black boxes, lacking transparency and intrinsic aesthetics.
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25 Oct 2022 2 repositories listedExisting image enhancement methods are typically designed to address either the over- or under-exposure problem in the input image.
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22 Oct 2021 2 repositories listedTo reduce the overshoot effects of LIE, this paper proposes an illumination-aware image quality assessment, called LIE-IQA, for the enhanced low-light images.
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3 Dec 2016 2 repositories listedWhen one captures images in low-light conditions, the images often suffer from low visibility.
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9 Jul 2025 1 repository listedLow-Light Image Enhancement (LLIE) aims to restore vivid content and details from corrupted low-light images.
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30 May 2025 1 repository listedWe propose RT-X Net, a cross-attention network that fuses RGB and thermal images for nighttime image enhancement.
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29 May 2025 1 repository listed Syntology ran 6 of 13 samples · 7 unverifiedExisting low-light image enhancement (LLIE) and joint LLIE and deblurring (LLIE-deblur) models have made strides in addressing predefined degradations, yet they are often constrained by dynamically coupled degradations.
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27 May 2025 1 repository listedOccupancy prediction aims to estimate the 3D spatial distribution of occupied regions along with their corresponding semantic labels.
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22 May 2025 1 repository listedThis work presents a forward-only diffusion (FoD) approach for generative modelling.
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19 May 2025 1 repository listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)To address this issue, motivated by the routing strategy, we propose DFPIR, a novel all-in-one image restorer that introduces Degradation-aware Feature Perturbations(DFP) to adjust the feature space to align with the…
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16 May 2025 1 repository listedImage enhancement methods often prioritize pixel level information, overlooking the semantic features.
Syntology lines on 7 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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