mlsanityData to 14 Oct 2026

DarkIR: Robust Low-Light Image Restoration

arXiv 2412.13443 ↗First posted 18 Dec 2024cs.CV eess.IVcited by 48

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Abstract (arXiv)

Photography during night or in dark conditions typically suffers from noise, low light and blurring issues due to the dim environment and the common use of long exposure. Although Deblurring and Low-light Image Enhancement (LLIE) are related under these conditions, most approaches in image restoration solve these tasks separately. In this paper, we present an efficient and robust neural network for multi-task low-light image restoration. Instead of following the current tendency of Transformer-based models, we propose new attention mechanisms to enhance the receptive field of efficient CNNs. Our method reduces the computational costs in terms of parameters and MAC operations compared to previous methods. Our model, DarkIR, achieves new state-of-the-art results on the popular LOLBlur, LOLv2 and Real-LOLBlur datasets, being able to generalize on real-world night and dark images. Code and models at https://github.com/cidautai/DarkIR

Key facts. Cited by 48 papers in the map (data through 14 Oct 2026). Builds on 42 of its 73 references that are in the map. First posted on arXiv 18 Dec 2024.

Builds on

42 of 73 references.

References · 42

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  2. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  3. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  4. 2016SGDR: Stochastic Gradient Descent with Warm Restartscited by 5,045
  5. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,627
  6. 2021MUSIQ: Multi-scale Image Quality Transformercited by 1,081
  7. 2021Uformer: A General U-Shaped Transformer for Image Restorationcited by 866
  8. 2016Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurringcited by 727
  9. 2018Deep Retinex Decomposition for Low-Light Enhancementcited by 723
  10. 2022Simple Baselines for Image Restorationcited by 708
  11. 2017Understanding the Effective Receptive Field in Deep Convolutional Neural Networkscited by 553
  12. 2020Zero-Reference Deep Curve Estimation for Low-Light Image Enhancementcited by 542
30 more
  1. 2021MetaFormer Is Actually What You Need for Visioncited by 524
  2. 2019EnlightenGAN: Deep Light Enhancement without Paired Supervisioncited by 466
  3. 2019DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Bettercited by 362
  4. 2021Rethinking Coarse-to-Fine Approach in Single Image Deblurringcited by 326
  5. 2020Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancementcited by 303
  6. 2021Deblurring via Stochastic Refinementcited by 249
  7. 2023Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancementcited by 231
  8. 2022Visual Attention Networkcited by 210
  9. 2022Efficient Frequency Domain-based Transformers for High-Quality Image Deblurringcited by 165
  10. 2022Learning Enriched Features for Fast Image Restoration and Enhancementcited by 150
  11. 2016Learning a No-Reference Quality Metric for Single-Image Super-Resolutioncited by 144
  12. 2024InstructIR: High-Quality Image Restoration Following Human Instructionscited by 140
  13. 2023PromptIR: Prompting for All-in-One Blind Image Restorationcited by 114
  14. 2021R2RNet: Low-light Image Enhancement via Real-low to Real-normal Networkcited by 106
  15. 2022LEDNet: Joint Low-light Enhancement and Deblurring in the Darkcited by 96
  16. 2023Implicit Neural Representation for Cooperative Low-light Image Enhancementcited by 92
  17. 2023Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancementcited by 86
  18. 2022NAFSSR: Stereo Image Super-Resolution Using NAFNetcited by 76
  19. 2016A Neural Approach to Blind Motion Deblurringcited by 69
  20. 2023FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Informationcited by 64
  21. 2021Mobile Computational Photography: A Tourcited by 62
  22. 2018SqueezeNext: Hardware-Aware Neural Network Designcited by 61
  23. 2019Handheld Mobile Photography in Very Low Lightcited by 56
  24. 2022Model-Based Image Signal Processors via Learnable Dictionariescited by 43
  25. 2019STAR: A Structure and Texture Aware Retinex Modelcited by 41
  26. 2024GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrievalcited by 33
  27. 2023ExposureDiffusion: Learning to Expose for Low-light Image Enhancementcited by 29
  28. 2024NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Resultscited by 26
  29. 2024You Only Need One Color Space: An Efficient Network for Low-light Image Enhancementcited by 24
  30. 2022D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restorationcited by 14

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 16; 2026: 32.

48 papers.

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  1. 2025NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Resultscited by 22
  2. 2025I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactionscited by 17
  3. 2025NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Resultscited by 14
  4. 2026NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Resultscited by 11
  5. 2025DSwinIR: Rethinking Window-based Attention for Image Restorationcited by 7
  6. 2026Low Light Image Enhancement Challenge at NTIRE 2026cited by 7
  7. 2026Pansharpening for Thin-Cloud Contaminated Remote Sensing Images: A Unified Framework and Benchmark Datasetcited by 5
  8. 2025SPJFNet: Self-Mining Prior-Guided Joint Frequency Enhancement for Ultra-Efficient Dark Image Restorationcited by 3
  9. 2025Towards Unified Image Deblurring using a Mixture-of-Experts Decodercited by 3
  10. 2025Efficient Real-World Deblurring using Single Images: AIM 2025 Challenge Reportcited by 2
  11. 2026NimbusGS: Unified 3D Scene Reconstruction under Hybrid Weathercited by 2
  12. 2025An Extended VIIRS-like Artificial Nighttime Light Data Reconstruction (1986-2024)cited by 1
36 more
  1. 2025Beyond Illumination: Fine-Grained Detail Preservation in Extreme Dark Image Restorationcited by 1
  2. 2025CIVQLLIE: Causal Intervention with Vector Quantization for Low-Light Image Enhancementcited by 1
  3. 2025NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Resultscited by 1
  4. 2025Evaluating Low-Light Image Enhancement Across Multiple Intensity Levelscited by 1
  5. 2025ELVIS: Enhance Low-Light for Video Instance Segmentation in the Darkcited by 1
  6. 2026FourierPET: Deep Fourier-based Unrolled Network for Low-count PET Reconstructioncited by 1
  7. 2026Revisiting Lightweight Low-Light Image Enhancement: From a YUV Color Space Perspectivecited by 1
  8. 2026Decoder-Free Distillation for Quantized Image Restorationcited by 1
  9. 2026PASDiff: Physics-Aware Semantic Guidance for Joint Real-World Low-Light Face Enhancement and Restorationcited by 1
  10. 2026EgoXtreme: A Dataset for Robust Object Pose Estimation in Egocentric Views under Extreme Conditionscited by 1
  11. 2026UDAPose: Unsupervised Domain Adaptation for Low-Light Human Pose Estimationcited by 1
  12. 2026Breaking Degradation Coupling: A Structural Entropy Guided Decoupled Framework and Benchmark for Infrared Enhancementcited by 1
  13. 2026PixIE: Prompted Pixel-Space Low-Light Image Enhancementcited by 1
  14. 2026ControlLight: Towards Controllable, Consistent, and Generalizable Low-Light Enhancementcited by 1
  15. 2026The Second LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Resultscited by 1
  16. 2025HPGN: Hybrid Priors-Guided Network for Compressed Low-Light Image Enhancementcited by 0
  17. 2025FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Networkcited by 0
  18. 2025DarkQA: Benchmarking Vision-Language Models on Visual-Primitive Question Answering in Low-Light Indoor Scenescited by 0
  19. 2026Enhancing Underwater Images via Adaptive Semantic-aware Codebook Learningcited by 0
  20. 2026RobustSCI: Beyond Reconstruction to Restoration for Snapshot Compressive Imaging under Real-World Degradationscited by 0
  21. 2026Improving Image-to-Image Translation via a Rectified Flow Reformulationcited by 0
  22. 2026UCMNet: Uncertainty-Aware Context Memory Network for Under-Display Camera Image Restorationcited by 0
  23. 2026Deep Light Pollution Removal in Night Cityscape Photographscited by 0
  24. 2026Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screenscited by 0
  25. 2026Degradation-Aware Adaptive Context Gating for Unified Image Restorationcited by 0
  26. 2026DelowlightSplat: Feed-Forward Gaussian Splatting for Lowlight 3D Scene Reconstructioncited by 0
  27. 2026TAE: Target-aware enhancer for nighttime UAV trackingcited by 0
  28. 2026LUCID: Learning Unified Control for Image Deflaring and Exposure Mastery in Nighttime Photographycited by 0
  29. 2026DVANet: Degradation-aware Visual-prior Alignment Network for Image Restorationcited by 0
  30. 2026Thresholded Cross-Attention for Reliable Intensity-Chromaticity Fusion in Low-Light Image Enhancementcited by 0
  31. 2026Beyond Illumination: A Conditional Mutual Information-Guided Network for Low-Light Image Enhancementcited by 0
  32. 2026Towards Color-Faithful Low-Light Image Enhancement via Adaptive Color Debiasing and Saturation Rectificationcited by 0
  33. 2026BC-IHV: Conditioning the Color Space for Stable Rectified-Flow Low-Light Enhancementcited by 0
  34. 2026Bridge Damage Detection from Low-Light UAV Imagery via Degradation-Aware Mixture-of-Experts Enhancementcited by 0
  35. 2026Weather-Conditioned Depth Anythingcited by 0
  36. 2026NOVA-GS: Noise-Aware View-Consistent Gaussian Splatting for Low-Light Novel View Synthesiscited by 0