Image Enhancement

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

7 leaderboard tables shown for this task, 7 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.

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

18 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

10 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 445 papers with code (983 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.

• Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
  19 Jan 2020 13 repositories listed Syntology ran 1 of 16 samples · 15 unverified
  The 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.
• Learning Enriched Features for Real Image Restoration and Enhancement
  15 Mar 2020 12 repositories listed Syntology ran 3 of 20 samples · 17 unverified · 3 pointer-only (licence)
  With the goal of recovering high-quality image content from its degraded version, image restoration enjoys numerous applications, such as in surveillance, computational photography, medical imaging, and remote sensing.
• EnlightenGAN: Deep Light Enhancement without Paired Supervision
  17 Jun 2019 8 repositories listed
  Deep 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?
• Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
  27 Apr 2021 7 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  As a result, our network can effectively improve the visual quality of underwater images by exploiting multiple color spaces embedding and the advantages of both physical model-based and learning-based methods.
• LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement
  12 Nov 2015 6 repositories listed
  In 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…
• Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
  12 Mar 2023 5 repositories listed Syntology ran 2 of 10 samples · 8 unverified
  When enhancing low-light images, many deep learning algorithms are based on the Retinex theory.
• Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
  1 Mar 2021 5 repositories listed
  This 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.
• Luminance-Guided Chrominance Image Enhancement for HEVC Intra Coding
  11 Jun 2022 4 repositories listed
  In this paper, we propose a luminance-guided chrominance image enhancement convolutional neural network for HEVC intra coding.
• Uformer: A General U-Shaped Transformer for Image Restoration
  6 Jun 2021 4 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 2 pointer-only (licence)
  Powered by these two designs, Uformer enjoys a high capability for capturing both local and global dependencies for image restoration.
• Projected Distribution Loss for Image Enhancement
  16 Dec 2020 4 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  More explicitly, we show that in imaging applications such as denoising, super-resolution, demosaicing, deblurring and JPEG artifact removal, the proposed learning loss outperforms the current state-of-the-art on…
• Super Resolution for Root Imaging
  30 Mar 2020 4 repositories listed
  High-resolution cameras have become very helpful for plant phenotyping by providing a mechanism for tasks such as target versus background discrimination, and the measurement and analysis of fine-above-ground plant…
• Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network
  20 Mar 2020 4 repositories listed
  Inspired by the success of edge enhanced GAN (EEGAN) and ESRGAN, we apply a new edge-enhanced super-resolution GAN (EESRGAN) to improve the image quality of remote sensing images and use different detector networks in…
• Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception
  4 Feb 2020 4 repositories listed
  In this paper, we introduce and tackle the simultaneous enhancement and super-resolution (SESR) problem for underwater robot vision and provide an efficient solution for near real-time applications.
• NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
  22 Apr 2024 3 repositories listed
  This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results.
• OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing
  6 Feb 2023 3 repositories listed
  Non-mydriatic retinal color fundus photography (CFP) is widely available due to the advantage of not requiring pupillary dilation, however, is prone to poor quality due to operators, systemic imperfections, or…
• Structure-consistent Restoration Network for Cataract Fundus Image Enhancement
  9 Jun 2022 3 repositories listed
  In this paper, to circumvent the strict deployment requirement, a structure-consistent restoration network (SCR-Net) for cataract fundus images is developed from synthesized data that shares an identical structure.
• Low-Light Image and Video Enhancement Using Deep Learning: A Survey
  21 Apr 2021 3 repositories listed
  Low-light image enhancement (LLIE) aims at improving the perception or interpretability of an image captured in an environment with poor illumination.
• CURL: Neural Curve Layers for Global Image Enhancement
  29 Nov 2019 3 repositories listed
  We present a novel approach to adjust global image properties such as colour, saturation, and luminance using human-interpretable image enhancement curves, inspired by the Photoshop curves tool.
• RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
  20 Nov 2019 3 repositories listed
  To our best knowledge, we are the first one to explore residual and illumination for shadow removal.
• Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset
  2 Aug 2019 3 repositories listed
  Low-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.
• Fast Underwater Image Enhancement for Improved Visual Perception
  23 Mar 2019 3 repositories listed
  In this paper, we present a conditional generative adversarial network-based model for real-time underwater image enhancement.
• Deep Retinex Decomposition for Low-Light Enhancement
  14 Aug 2018 3 repositories listed
  Based 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.
• Single Image Reflection Separation with Perceptual Losses
  14 Jun 2018 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Our loss function includes two perceptual losses: a feature loss from a visual perception network, and an adversarial loss that encodes characteristics of images in the transmission layers.
• Getting to Know Low-light Images with The Exclusively Dark Dataset
  29 May 2018 3 repositories listed
  Thus, we propose the Exclusively Dark dataset to elevate this data drought, consisting exclusively of ten different types of low-light images (i.
• Deep Burst Denoising
  15 Dec 2017 3 repositories listed
  One strategy for mitigating noise in a low-light situation is to increase the shutter time of the camera, thus allowing each photosite to integrate more light and decrease noise variance.
• LYT-NET: Lightweight YUV Transformer-based Network for Low-light Image Enhancement
  26 Jan 2024 2 repositories listed
  This letter introduces LYT-Net, a novel lightweight transformer-based model for low-light image enhancement (LLIE).
• MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration
  19 Jan 2024 2 repositories listed
  To capture the longrange dependency of features without introducing excessive computational complexity, we present the Global Feature Modulation Layer (GFML).
• SNeurodCNN: Structure-focused Neurodegeneration Convolutional Neural Network for Modelling and Classification of Alzheimer's Disease
  8 Jan 2024 2 repositories listed
  Alzheimer's disease (AD), the predominant form of dementia, is a growing global challenge, emphasizing the urgent need for accurate and early diagnosis.
• Low-light Image Enhancement via CLIP-Fourier Guided Wavelet Diffusion
  8 Jan 2024 2 repositories listed
  Moreover, 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…
• Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation
  2 Dec 2023 2 repositories listed
  Previous methods mitigate this issue by exploring image enhancement or object detection techniques with real low-light image datasets.

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.