mlsanityData to 7 Oct 2026

Implicit Neural Representation for Cooperative Low-light Image Enhancement

arXiv 2303.11722 ↗First posted 21 Mar 2023cs.CVcited by 92

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Abstract (arXiv)

The following three factors restrict the application of existing low-light image enhancement methods: unpredictable brightness degradation and noise, inherent gap between metric-favorable and visual-friendly versions, and the limited paired training data. To address these limitations, we propose an implicit Neural Representation method for Cooperative low-light image enhancement, dubbed NeRCo. It robustly recovers perceptual-friendly results in an unsupervised manner. Concretely, NeRCo unifies the diverse degradation factors of real-world scenes with a controllable fitting function, leading to better robustness. In addition, for the output results, we introduce semantic-orientated supervision with priors from the pre-trained vision-language model. Instead of merely following reference images, it encourages results to meet subjective expectations, finding more visual-friendly solutions. Further, to ease the reliance on paired data and reduce solution space, we develop a dual-closed-loop constrained enhancement module. It is trained cooperatively with other affiliated modules in a self-supervised manner. Finally, extensive experiments demonstrate the robustness and superior effectiveness of our proposed NeRCo. Our code is available at https://github.com/Ysz2022/NeRCo.

Key facts. Cited by 92 papers in the map (data through 7 Oct 2026). Builds on 33 of its 64 references that are in the map. First posted on arXiv 21 Mar 2023.

Builds on

33 of 64 references.

References · 33

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  5. 2018On the Spectral Bias of Neural Networkscited by 1,321
  6. 2018Deep Retinex Decomposition for Low-Light Enhancementcited by 720
  7. 2020Learning Continuous Image Representation with Local Implicit Image Functioncited by 550
  8. 2020Zero-Reference Deep Curve Estimation for Low-Light Image Enhancementcited by 541
  9. 2021DenseCLIP: Language-Guided Dense Prediction with Context-Aware Promptingcited by 530
  10. 2019EnlightenGAN: Deep Light Enhancement without Paired Supervisioncited by 466
  11. 2021Unifying Vision-and-Language Tasks via Text Generationcited by 411
  12. 2019Kindling the Darkness: A Practical Low-light Image Enhancercited by 355
21 more
  1. 2021Prompting Visual-Language Models for Efficient Video Understandingcited by 309
  2. 2020Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancementcited by 303
  3. 2021NeRV: Neural Representations for Videoscited by 255
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  5. 2015LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancementcited by 224
  6. 2021Local Texture Estimator for Implicit Representation Functioncited by 126
  7. 2021R2RNet: Low-light Image Enhancement via Real-low to Real-normal Networkcited by 106
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  9. 2021Generative Models as Distributions of Functionscited by 89
  10. 2021Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fieldscited by 69
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  12. 2021Implicit Neural Video Compressioncited by 52
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  14. 2022PS-NeRV: Patch-wise Stylized Neural Representations for Videoscited by 32
  15. 2020Self-supervised Image Enhancement Network: Training with Low Light Images Onlycited by 29
  16. 2021HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imagingcited by 26
  17. 2022M3ST: Mix at Three Levels for Speech Translationcited by 21
  18. 2022Learning Local Implicit Fourier Representation for Image Warpingcited by 14
  19. 2023SSVMR: Saliency-based Self-training for Video-Music Retrievalcited by 12
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 9; 2024: 31; 2025: 33; 2026: 19.

92 papers.

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  1. 2024Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Modelcited by 73
  2. 2024LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Modelscited by 70
  3. 2024Retinexmamba: Retinex-based Mamba for Low-light Image Enhancementcited by 59
  4. 2024Zero-Reference Low-Light Enhancement via Physical Quadruple Priorscited by 58
  5. 2024Bidirectional Multi-Scale Implicit Neural Representations for Image Derainingcited by 54
  6. 2024DarkIR: Robust Low-Light Image Restorationcited by 48
  7. 2024Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Taskscited by 47
  8. 2025Luminance-GS: Adapting 3D Gaussian Splatting to Challenging Lighting Conditions with View-Adaptive Curve Adjustmentcited by 27
  9. 2024NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Resultscited by 26
  10. 2024Learning A Physical-aware Diffusion Model Based on Transformer for Underwater Image Enhancementcited by 24
  11. 2023Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generationcited by 23
  12. 2023ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embeddingcited by 23
38 more
  1. 2024Towards Real-world Event-guided Low-light Video Enhancement and Deblurringcited by 22
  2. 2023G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theorycited by 21
  3. 2024Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representationscited by 21
  4. 2025UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restorationcited by 21
  5. 2024Low-light Image Enhancement via CLIP-Fourier Guided Wavelet Diffusioncited by 19
  6. 2024AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancementcited by 16
  7. 2024LLEMamba: Low-Light Enhancement via Relighting-Guided Mamba with Deep Unfolding Networkcited by 14
  8. 2025CWNet: Causal Wavelet Network for Low-Light Image Enhancementcited by 10
  9. 2024You Only Look Around: Learning Illumination Invariant Feature for Low-light Object Detectioncited by 9
  10. 2023DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancementcited by 8
  11. 2026Unifying Color and Lightness Correction with View-Adaptive Curve Adjustment for Robust 3D Novel View Synthesiscited by 8
  12. 2023Geometric-Aware Low-Light Image and Video Enhancement via Depth Guidancecited by 7
  13. 2024Spatial-frequency Dual-Domain Feature Fusion Network for Low-Light Remote Sensing Image Enhancementcited by 7
  14. 2024Superpixel-informed Implicit Neural Representation for Multi-Dimensional Datacited by 7
  15. 2023ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understandingcited by 6
  16. 2024Specularity Factorization for Low-Light Enhancementcited by 6
  17. 2024Unlocking Attributes' Contribution to Successful Camouflage: A Combined Textual and VisualAnalysis Strategycited by 6
  18. 2025LLGS: Unsupervised Gaussian Splatting for Image Enhancement and Reconstruction in Pure Dark Environmentcited by 6
  19. 2023WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyondcited by 5
  20. 2024Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel Priorcited by 5
  21. 2025Rethinking Nighttime Image Deraining via Learnable Color Space Transformationcited by 5
  22. 2026LL-GaussianImage: Efficient Image Representation for Zero-shot Low-Light Enhancement with 2D Gaussian Splattingcited by 5
  23. 2023Learning a Single Convolutional Layer Model for Low Light Image Enhancementcited by 4
  24. 2024KAN See In the Darkcited by 4
  25. 2024Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priorscited by 4
  26. 2025Discovering an Image-Adaptive Coordinate System for Photography Processingcited by 4
  27. 2025Continuous Representation Methods, Theories, and Applications: An Overview and Perspectivescited by 4
  28. 2025IGDNet: Zero-Shot Robust Underexposed Image Enhancement via Illumination-Guided and Denoisingcited by 4
  29. 2023Enlighten-Your-Voice: When Multimodal Meets Zero-shot Low-light Image Enhancementcited by 3
  30. 2024Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancementcited by 3
  31. 2024Zero-Shot Low Light Image Enhancement with Diffusion Priorcited by 3
  32. 2025FLOL: Fast Baselines for Real-World Low-Light Enhancementcited by 3
  33. 2025GM-MoE: Low-Light Enhancement with Gated-Mechanism Mixture-of-Expertscited by 3
  34. 2025Robust Low-light Scene Restoration via Illumination Transitioncited by 3
  35. 2025From Enhancement to Understanding: Build a Generalized Bridge for Low-light Vision via Semantically Consistent Unsupervised Fine-tuningcited by 3
  36. 2025DLEN: Dual Branch of Transformer for Low-Light Image Enhancement in Dual Domainscited by 2
  37. 2025Striving for Faster and Better: A One-Layer Architecture with Auto Re-parameterization for Low-Light Image Enhancementcited by 2
  38. 2025Adapting Large VLMs with Iterative and Manual Instructions for Generative Low-light Enhancementcited by 2

50 most cited of 92 All 92 (JSON)

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  1. 2024Low-Light Image Enhancement via Generative Perceptual Priors
  2. 2026ControlLight: Towards Controllable, Consistent, and Generalizable Low-Light Enhancement
  3. 2025TSCnet: A Text-driven Semantic-level Controllable Framework for Customized Low-Light Image Enhancement
  4. 2023JoReS-Diff: Joint Retinex and Semantic Priors in Diffusion Model for Low-light Image Enhancement
  5. 2024Rethinking Model Redundancy for Low-light Image Enhancement
  6. 2026Bridging Robustness and Efficiency: Real-Time Low-Light Enhancement via Attention U-Net GAN
  7. 2026Retrieval-Augmented Generation-Based Color Restoration for Low-Light Image Enhancement
  8. 2026Towards Controllable Low-Light Image Enhancement: A Continuous Multi-illumination Dataset and Efficient State Space Framework