mlsanityData to 14 Oct 2026

GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing

arXiv 1908.03245 ↗First posted 8 Aug 2019cs.CV eess.IVcited by 227

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Cited by 20 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We propose an end-to-end trainable Convolutional Neural Network (CNN), named GridDehazeNet, for single image dehazing. The GridDehazeNet consists of three modules: pre-processing, backbone, and post-processing. The trainable pre-processing module can generate learned inputs with better diversity and more pertinent features as compared to those derived inputs produced by hand-selected pre-processing methods. The backbone module implements a novel attention-based multi-scale estimation on a grid network, which can effectively alleviate the bottleneck issue often encountered in the conventional multi-scale approach. The post-processing module helps to reduce the artifacts in the final output. Experimental results indicate that the GridDehazeNet outperforms the state-of-the-arts on both synthetic and real-world images. The proposed hazing method does not rely on the atmosphere scattering model, and we provide an explanation as to why it is not necessarily beneficial to take advantage of the dimension reduction offered by the atmosphere scattering model for image dehazing, even if only the dehazing results on synthetic images are concerned.

Key facts. Cited by 227 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Aug 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 30; 2022: 32; 2023: 36; 2024: 65; 2025: 35; 2026: 29.

227 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. 2022Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Modelscited by 215
  5. 2021PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localizationcited by 133
  6. 2023Controlling Vision-Language Models for Multi-Task Image Restorationcited by 110
  7. 2024OneRestore: A Universal Restoration Framework for Composite Degradationcited by 92
  8. 2023DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attentioncited by 91
  9. 2021Image-Adaptive YOLO for Object Detection in Adverse Weather Conditionscited by 85
  10. 2023Curricular Contrastive Regularization for Physics-aware Single Image Dehazingcited by 83
  11. 2023MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazingcited by 81
  12. 2023RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priorscited by 73
38 more
  1. 2021From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Datacited by 68
  2. 2023GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditionscited by 62
  3. 2024FreqMamba: Viewing Mamba from a Frequency Perspective for Image Derainingcited by 57
  4. 2023WaveDM: Wavelet-Based Diffusion Models for Image Restorationcited by 47
  5. 2024MaIR: A Locality- and Continuity-Preserving Mamba for Image Restorationcited by 45
  6. 2025Degradation-Aware Feature Perturbation for All-in-One Image Restorationcited by 41
  7. 2024U-shaped Vision Mamba for Single Image Dehazingcited by 40
  8. 2023Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolutioncited by 39
  9. 2024Correlation Matching Transformation Transformers for UHD Image Restorationcited by 39
  10. 2023Improving Image Restoration through Removing Degradations in Textual Representationscited by 36
  11. 2022UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learningcited by 35
  12. 2024GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrievalcited by 33
  13. 2024Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazingcited by 32
  14. 2022FIFO: Learning Fog-invariant Features for Foggy Scene Segmentationcited by 31
  15. 2021Perceiving and Modeling Density is All You Need for Image Dehazingcited by 30
  16. 2021Self-Adversarial Disentangling for Specific Domain Adaptationcited by 29
  17. 2022Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removalcited by 28
  18. 2024Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Networkcited by 26
  19. 2025Visual-Instructed Degradation Diffusion for All-in-One Image Restorationcited by 26
  20. 2023SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistencycited by 24
  21. 2024Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraintcited by 24
  22. 2022Neural Compression-Based Feature Learning for Video Restorationcited by 23
  23. 2024NightHaze: Nighttime Image Dehazing via Self-Prior Learningcited by 23
  24. 2023Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Priorcited by 22
  25. 2022Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learningcited by 21
  26. 2023Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagationcited by 21
  27. 2022GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse Conditionscited by 20
  28. 2024ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformercited by 20
  29. 2021A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learningcited by 19
  30. 2021Learning for Unconstrained Space-Time Video Super-Resolutioncited by 18
  31. 2023MixDehazeNet : Mix Structure Block For Image Dehazing Networkcited by 18
  32. 2023Mutual Information-driven Triple Interaction Network for Efficient Image Dehazingcited by 18
  33. 2021Towards Domain Invariant Single Image Dehazingcited by 17
  34. 2022Multi-Scale Adaptive Network for Single Image Denoisingcited by 17
  35. 2022Source-Free Domain Adaptation for Real-world Image Dehazingcited by 17
  36. 2022Restoring Vision in Hazy Weather with Hierarchical Contrastive Learningcited by 17
  37. 2024ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazingcited by 16
  38. 2023SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazingcited by 15

50 most cited of 227 All 227 (JSON)