mlsanityData to 14 Oct 2026

Dense Haze: A benchmark for image dehazing with dense-haze and haze-free images

arXiv 1904.02904 ↗First posted 5 Apr 2019cs.CVcited by 107

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Abstract (arXiv)

Single image dehazing is an ill-posed problem that has recently drawn important attention. Despite the significant increase in interest shown for dehazing over the past few years, the validation of the dehazing methods remains largely unsatisfactory, due to the lack of pairs of real hazy and corresponding haze-free reference images. To address this limitation, we introduce Dense-Haze - a novel dehazing dataset. Characterized by dense and homogeneous hazy scenes, Dense-Haze contains 33 pairs of real hazy and corresponding haze-free images of various outdoor scenes. The hazy scenes have been recorded by introducing real haze, generated by professional haze machines. The hazy and haze-free corresponding scenes contain the same visual content captured under the same illumination parameters. Dense-Haze dataset aims to push significantly the state-of-the-art in single-image dehazing by promoting robust methods for real and various hazy scenes. We also provide a comprehensive qualitative and quantitative evaluation of state-of-the-art single image dehazing techniques based on the Dense-Haze dataset. Not surprisingly, our study reveals that the existing dehazing techniques perform poorly for dense homogeneous hazy scenes and that there is still much room for improvement.

Key facts. Cited by 107 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Apr 2019.

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Citing papers per year: 2021: 6; 2022: 8; 2023: 17; 2024: 27; 2025: 30; 2026: 19.

107 papers.

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  1. 2022Vision Transformers for Single Image Dehazingcited by 260
  2. 2021Contrastive Learning for Compact Single Image Dehazingcited by 219
  3. 2023Diffusion Models for Image Restoration and Enhancement: A Comprehensive Surveycited by 109
  4. 2023Curricular Contrastive Regularization for Physics-aware Single Image Dehazingcited by 83
  5. 2023MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazingcited by 81
  6. 2024Diffusion Models in Low-Level Vision: A Surveycited by 74
  7. 2023RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priorscited by 73
  8. 2024I2EBench: A Comprehensive Benchmark for Instruction-based Image Editingcited by 63
  9. 2024A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trendscited by 60
  10. 2024FreqMamba: Viewing Mamba from a Frequency Perspective for Image Derainingcited by 57
  11. 2024PromptFix: You Prompt and We Fix the Photocited by 40
  12. 2025MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restorationcited by 36
38 more
  1. 2022Not Just Streaks: Towards Ground Truth for Single Image Derainingcited by 31
  2. 2024PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructionscited by 31
  3. 2022Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removalcited by 28
  4. 2025Visual-Instructed Degradation Diffusion for All-in-One Image Restorationcited by 26
  5. 2025Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Datacited by 21
  6. 2025WeatherBench: A Real-World Benchmark Dataset for All-in-One Adverse Weather Image Restorationcited by 20
  7. 2021A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learningcited by 19
  8. 2023MixDehazeNet : Mix Structure Block For Image Dehazing Networkcited by 18
  9. 2023Mutual Information-driven Triple Interaction Network for Efficient Image Dehazingcited by 18
  10. 2022Restoring Vision in Hazy Weather with Hierarchical Contrastive Learningcited by 17
  11. 2023Frequency Compensated Diffusion Model for Real-scene Dehazingcited by 17
  12. 2021A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learningcited by 16
  13. 2024HazyDet: Open-Source Benchmark for Drone-View Object Detection with Depth-Cues in Hazy Scenescited by 15
  14. 2025Residual Diffusion Bridge Model for Image Restorationcited by 15
  15. 2025Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Visioncited by 14
  16. 2025Personalized Vision via Visual In-Context Learningcited by 14
  17. 2023Let Segment Anything Help Image Dehazecited by 13
  18. 2024GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restorationcited by 13
  19. 2023Prompt-based test-time real image dehazing: a novel pipelinecited by 12
  20. 2023High-quality Image Dehazing with Diffusion Modelcited by 11
  21. 2025Reversing Flow for Image Restorationcited by 10
  22. 2022A Multi-purpose Realistic Haze Benchmark with Quantifiable Haze Levels and Ground Truthcited by 9
  23. 2023A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformercited by 9
  24. 2024SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Drivingcited by 9
  25. 2025FoundIR-v2: Optimizing Pre-Training Data Mixtures for Image Restoration Foundation Modelcited by 9
  26. 2023Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXtcited by 8
  27. 2025Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazingcited by 8
  28. 2026CLIP-Guided Data Augmentation for Night-Time Image Dehazingcited by 8
  29. 2021Rank-One Prior: Toward Real-Time Scene Recoverycited by 7
  30. 2025M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restorationcited by 7
  31. 2026From Zero to Detail: A Progressive Spectral Decoupling Paradigm for UHD Image Restoration with New Benchmarkcited by 7
  32. 2025PHATNet: A Physics-guided Haze Transfer Network for Domain-adaptive Real-world Image Dehazingcited by 6
  33. 2026Bilevel Layer-Positioning LoRA for Real Image Dehazingcited by 6
  34. 2024Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamicscited by 5
  35. 2025DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restorationcited by 5
  36. 2025UniSER: A Foundation Model for Unified Soft Effects Removalcited by 5
  37. 2022Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstructioncited by 4
  38. 2023Reliable Image Dehazing by NeRFcited by 4

50 most cited of 107 All 107 (JSON)