mlsanityData to 7 Oct 2026

Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining

arXiv 1807.05698 ↗First posted 16 Jul 2018cs.CVcited by 205

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Abstract (arXiv)

Rain streaks can severely degrade the visibility, which causes many current computer vision algorithms fail to work. So it is necessary to remove the rain from images. We propose a novel deep network architecture based on deep convolutional and recurrent neural networks for single image deraining. As contextual information is very important for rain removal, we first adopt the dilated convolutional neural network to acquire large receptive field. To better fit the rain removal task, we also modify the network. In heavy rain, rain streaks have various directions and shapes, which can be regarded as the accumulation of multiple rain streak layers. We assign different alpha-values to various rain streak layers according to the intensity and transparency by incorporating the squeeze-and-excitation block. Since rain streak layers overlap with each other, it is not easy to remove the rain in one stage. So we further decompose the rain removal into multiple stages. Recurrent neural network is incorporated to preserve the useful information in previous stages and benefit the rain removal in later stages. We conduct extensive experiments on both synthetic and real-world datasets. Our proposed method outperforms the state-of-the-art approaches under all evaluation metrics. Codes and supplementary material are available at our project webpage: https://xialipku.github.io/RESCAN .

Key facts. Cited by 205 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Jul 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 43; 2022: 43; 2023: 31; 2024: 46; 2025: 32; 2026: 10.

205 papers.

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  1. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,618
  2. 2021Uformer: A General U-Shaped Transformer for Image Restorationcited by 864
  3. 2021Multi-Stage Progressive Image Restorationcited by 813
  4. 2022MAXIM: Multi-Axis MLP for Image Processingcited by 301
  5. 2021TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditionscited by 243
  6. 2021HINet: Half Instance Normalization Network for Image Restorationcited by 236
  7. 2022Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Modelscited by 215
  8. 2023Learning A Sparse Transformer Network for Effective Image Derainingcited by 204
  9. 2022Deep Generalized Unfolding Networks for Image Restorationcited by 119
  10. 2024OneRestore: A Universal Restoration Framework for Composite Degradationcited by 91
  11. 2025DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planningcited by 91
  12. 2024VmambaIR: Visual State Space Model for Image Restorationcited by 90
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  1. 2021Deep Dense Multi-scale Network for Snow Removal Using Semantic and Geometric Priorscited by 82
  2. 2023MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazingcited by 81
  3. 2021Spatially-Adaptive Image Restoration using Distortion-Guided Networkscited by 77
  4. 2024Restoring Images in Adverse Weather Conditions via Histogram Transformercited by 73
  5. 2021On Efficient Transformer-Based Image Pre-training for Low-Level Visioncited by 64
  6. 2021Structure-Preserving Deraining with Residue Channel Prior Guidancecited by 63
  7. 2023GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditionscited by 62
  8. 2021Unpaired Deep Image Deraining Using Dual Contrastive Learningcited by 60
  9. 2021Improving Image Restoration by Revisiting Global Information Aggregationcited by 60
  10. 2024FreqMamba: Viewing Mamba from a Frequency Perspective for Image Derainingcited by 57
  11. 2022TAPE: Task-Agnostic Prior Embedding for Image Restorationcited by 54
  12. 2024Bidirectional Multi-Scale Implicit Neural Representations for Image Derainingcited by 54
  13. 2022Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyondcited by 48
  14. 2021Deep Model Intellectual Property Protection via Deep Watermarkingcited by 47
  15. 2023Neural Degradation Representation Learning for All-In-One Image Restorationcited by 46
  16. 2023Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streakscited by 45
  17. 2021RegNet: Self-Regulated Network for Image Classificationcited by 44
  18. 2022Toward Real-world Single Image Deraining: A New Benchmark and Beyondcited by 40
  19. 2024U-shaped Vision Mamba for Single Image Dehazingcited by 40
  20. 2023From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removalcited by 39
  21. 2025Degradation-Aware Feature Perturbation for All-in-One Image Restorationcited by 39
  22. 2021Memory-Augmented Deep Unfolding Network for Compressive Sensingcited by 38
  23. 2021Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translationcited by 36
  24. 2023Improving Image Restoration through Removing Degradations in Textual Representationscited by 36
  25. 2024RobustSAM: Segment Anything Robustly on Degraded Imagescited by 36
  26. 2025MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restorationcited by 36
  27. 2023Towards Unified Deep Image Deraining: A Survey and A New Benchmarkcited by 34
  28. 2023KBNet: Kernel Basis Network for Image Restorationcited by 33
  29. 2021Robust Representation Learning with Feedback for Single Image Derainingcited by 32
  30. 2021SketchEdit: Mask-Free Local Image Manipulation with Partial Sketchescited by 32
  31. 2024FourierMamba: Fourier Learning Integration with State Space Models for Image Derainingcited by 32
  32. 2021Semi-Supervised Video Deraining with Dynamical Rain Generatorcited by 31
  33. 2021Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Frameworkcited by 30
  34. 2022Unsupervised Deraining: Where Contrastive Learning Meets Self-similaritycited by 30
  35. 2025Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restorationcited by 27
  36. 2021Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removalcited by 24
  37. 2024Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraintcited by 24
  38. 2024MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformerscited by 24

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