mlsanityData to 14 Oct 2026

Benchmarking Single Image Dehazing and Beyond

arXiv 1712.04143 ↗First posted 12 Dec 2017cs.CV cs.AI cs.LGcited by 447

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Cited by 44 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We present a comprehensive study and evaluation of existing single image dehazing algorithms, using a new large-scale benchmark consisting of both synthetic and real-world hazy images, called REalistic Single Image DEhazing (RESIDE). RESIDE highlights diverse data sources and image contents, and is divided into five subsets, each serving different training or evaluation purposes. We further provide a rich variety of criteria for dehazing algorithm evaluation, ranging from full-reference metrics, to no-reference metrics, to subjective evaluation and the novel task-driven evaluation. Experiments on RESIDE shed light on the comparisons and limitations of state-of-the-art dehazing algorithms, and suggest promising future directions.

Key facts. Cited by 447 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Dec 2017.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 34; 2022: 46; 2023: 62; 2024: 107; 2025: 114; 2026: 84.

447 papers.

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  1. 2022MAXIM: Multi-Axis MLP for Image Processingcited by 302
  2. 2022Vision Transformers for Single Image Dehazingcited by 260
  3. 2021Contrastive Learning for Compact Single Image Dehazingcited by 219
  4. 2023Image Restoration with Mean-Reverting Stochastic Differential Equationscited by 183
  5. 2024InstructIR: High-Quality Image Restoration Following Human Instructionscited by 140
  6. 2023PromptIR: Prompting for All-in-One Blind Image Restorationcited by 114
  7. 2024AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulationcited by 111
  8. 2023Diffusion Models for Image Restoration and Enhancement: A Comprehensive Surveycited by 109
  9. 2023AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusioncited by 100
  10. 2021Unsupervised Domain Adaptation of Object Detectors: A Surveycited by 93
  11. 2024OneRestore: A Universal Restoration Framework for Composite Degradationcited by 92
  12. 2023DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attentioncited by 91
38 more
  1. 2021Image-Adaptive YOLO for Object Detection in Adverse Weather Conditionscited by 85
  2. 2023Curricular Contrastive Regularization for Physics-aware Single Image Dehazingcited by 83
  3. 2023MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazingcited by 81
  4. 2024Complexity Experts are Task-Discriminative Learners for Any Image Restorationcited by 77
  5. 2024Diffusion Models in Low-Level Vision: A Surveycited by 74
  6. 2023RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priorscited by 73
  7. 2024Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Modelcited by 73
  8. 2024Restoring Images in Adverse Weather Conditions via Histogram Transformercited by 73
  9. 2021From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Datacited by 68
  10. 2024Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligencecited by 68
  11. 2023GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditionscited by 62
  12. 2024Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restorationcited by 62
  13. 2021Improving Image Restoration by Revisiting Global Information Aggregationcited by 61
  14. 2024A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trendscited by 60
  15. 2023A Comparative Study of Image Restoration Networks for General Backbone Network Designcited by 57
  16. 2024Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Taskscited by 48
  17. 2023WaveDM: Wavelet-Based Diffusion Models for Image Restorationcited by 47
  18. 2023Neural Degradation Representation Learning for All-In-One Image Restorationcited by 46
  19. 2024MaIR: A Locality- and Continuity-Preserving Mamba for Image Restorationcited by 45
  20. 2023Prompt-In-Prompt Learning for Universal Image Restorationcited by 43
  21. 2024An Intelligent Agentic System for Complex Image Restoration Problemscited by 43
  22. 2025UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Priorcited by 42
  23. 2025Degradation-Aware Feature Perturbation for All-in-One Image Restorationcited by 41
  24. 2024PromptFix: You Prompt and We Fix the Photocited by 40
  25. 2024Correlation Matching Transformation Transformers for UHD Image Restorationcited by 39
  26. 2024FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restorationcited by 39
  27. 2022Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Modelcited by 37
  28. 2023Neural Preset for Color Style Transfercited by 36
  29. 2023HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidancecited by 36
  30. 2023Improving Image Restoration through Removing Degradations in Textual Representationscited by 36
  31. 2025MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restorationcited by 36
  32. 2021Domain Adaptation for Underwater Image Enhancementcited by 35
  33. 2022UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learningcited by 35
  34. 20224D LUT: Learnable Context-Aware 4D Lookup Table for Image Enhancementcited by 34
  35. 2025JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restorationcited by 34
  36. 2023YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detectioncited by 33
  37. 2024Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazingcited by 32
  38. 2024PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructionscited by 31

50 most cited of 447 All 447 (JSON)