mlsanityData to 7 Oct 2026

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset

arXiv 1904.01538 ↗First posted 2 Apr 2019cs.CVcited by 192

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Abstract (arXiv)

Removing rain streaks from a single image has been drawing considerable attention as rain streaks can severely degrade the image quality and affect the performance of existing outdoor vision tasks. While recent CNN-based derainers have reported promising performances, deraining remains an open problem for two reasons. First, existing synthesized rain datasets have only limited realism, in terms of modeling real rain characteristics such as rain shape, direction and intensity. Second, there are no public benchmarks for quantitative comparisons on real rain images, which makes the current evaluation less objective. The core challenge is that real world rain/clean image pairs cannot be captured at the same time. In this paper, we address the single image rain removal problem in two ways. First, we propose a semi-automatic method that incorporates temporal priors and human supervision to generate a high-quality clean image from each input sequence of real rain images. Using this method, we construct a large-scale dataset of ~29.5K rain/rain-free image pairs that covers a wide range of natural rain scenes. Second, to better cover the stochastic distribution of real rain streaks, we propose a novel SPatial Attentive Network (SPANet) to remove rain streaks in a local-to-global manner. Extensive experiments demonstrate that our network performs favorably against the state-of-the-art deraining methods.

Key facts. Cited by 192 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Apr 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 31; 2022: 33; 2023: 28; 2024: 45; 2025: 36; 2026: 19.

192 papers.

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  1. 2021Uformer: A General U-Shaped Transformer for Image Restorationcited by 864
  2. 2022MAXIM: Multi-Axis MLP for Image Processingcited by 301
  3. 2021TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditionscited by 243
  4. 2022Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Modelscited by 215
  5. 2023Learning A Sparse Transformer Network for Effective Image Derainingcited by 204
  6. 2023Diffusion Models for Image Restoration and Enhancement: A Comprehensive Surveycited by 108
  7. 2024OneRestore: A Universal Restoration Framework for Composite Degradationcited by 91
  8. 2021Deep Dense Multi-scale Network for Snow Removal Using Semantic and Geometric Priorscited by 82
  9. 2021Spatially-Adaptive Image Restoration using Distortion-Guided Networkscited by 77
  10. 2024Diffusion Models in Low-Level Vision: A Surveycited by 73
  11. 2024Restoring Images in Adverse Weather Conditions via Histogram Transformercited by 73
  12. 2021On Efficient Transformer-Based Image Pre-training for Low-Level Visioncited by 64
38 more
  1. 2021Structure-Preserving Deraining with Residue Channel Prior Guidancecited by 63
  2. 2023GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditionscited by 62
  3. 2021Unpaired Deep Image Deraining Using Dual Contrastive Learningcited by 60
  4. 2021Improving Image Restoration by Revisiting Global Information Aggregationcited by 60
  5. 2024A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trendscited by 58
  6. 2024RainMamba: Enhanced Locality Learning with State Space Models for Video Derainingcited by 56
  7. 2022TAPE: Task-Agnostic Prior Embedding for Image Restorationcited by 54
  8. 2024Bidirectional Multi-Scale Implicit Neural Representations for Image Derainingcited by 54
  9. 2021LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directionscited by 52
  10. 2022Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyondcited by 48
  11. 2024Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Taskscited by 47
  12. 2023Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streakscited by 45
  13. 2022Toward Real-world Single Image Deraining: A New Benchmark and Beyondcited by 40
  14. 2023From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removalcited by 39
  15. 2021Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translationcited by 36
  16. 2023Towards Unified Deep Image Deraining: A Survey and A New Benchmarkcited by 34
  17. 2021Robust Representation Learning with Feedback for Single Image Derainingcited by 32
  18. 2021SketchEdit: Mask-Free Local Image Manipulation with Partial Sketchescited by 32
  19. 2021Semi-Supervised Video Deraining with Dynamical Rain Generatorcited by 31
  20. 2022Not Just Streaks: Towards Ground Truth for Single Image Derainingcited by 31
  21. 2021Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Frameworkcited by 30
  22. 2022Unsupervised Deraining: Where Contrastive Learning Meets Self-similaritycited by 30
  23. 2024Efficient Visual State Space Model for Image Deblurringcited by 27
  24. 2021Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removalcited by 24
  25. 2022GLF-CR: SAR-Enhanced Cloud Removal with Global-Local Fusioncited by 24
  26. 2024Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraintcited by 24
  27. 2025NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Resultscited by 22
  28. 2024Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restorationcited by 21
  29. 2022FairStyle: Debiasing StyleGAN2 with Style Channel Manipulationscited by 20
  30. 2025WeatherBench: A Real-World Benchmark Dataset for All-in-One Adverse Weather Image Restorationcited by 20
  31. 2024DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environmentscited by 19
  32. 2024Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restorationcited by 18
  33. 2024AWRaCLe: All-Weather Image Restoration using Visual In-Context Learningcited by 18
  34. 2024LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restorationcited by 18
  35. 2022Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyondcited by 17
  36. 2023Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restorationcited by 17
  37. 2024Dual-Path Coupled Image Deraining Network via Spatial-Frequency Interactioncited by 16
  38. 2025RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restorationcited by 15

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