mlsanityData to 7 Oct 2026

Multi-Scale Progressive Fusion Network for Single Image Deraining

arXiv 2003.10985 ↗First posted 24 Mar 2020cs.CV cs.LG eess.IVcited by 259

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Abstract (arXiv)

Rain streaks in the air appear in various blurring degrees and resolutions due to different distances from their positions to the camera. Similar rain patterns are visible in a rain image as well as its multi-scale (or multi-resolution) versions, which makes it possible to exploit such complementary information for rain streak representation. In this work, we explore the multi-scale collaborative representation for rain streaks from the perspective of input image scales and hierarchical deep features in a unified framework, termed multi-scale progressive fusion network (MSPFN) for single image rain streak removal. For similar rain streaks at different positions, we employ recurrent calculation to capture the global texture, thus allowing to explore the complementary and redundant information at the spatial dimension to characterize target rain streaks. Besides, we construct multi-scale pyramid structure, and further introduce the attention mechanism to guide the fine fusion of this correlated information from different scales. This multi-scale progressive fusion strategy not only promotes the cooperative representation, but also boosts the end-to-end training. Our proposed method is extensively evaluated on several benchmark datasets and achieves state-of-the-art results. Moreover, we conduct experiments on joint deraining, detection, and segmentation tasks, and inspire a new research direction of vision task-driven image deraining. The source code is available at urlhttps://github.com/kuihua/MSPFN.

Key facts. Cited by 259 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Mar 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 24; 2022: 30; 2023: 48; 2024: 73; 2025: 57; 2026: 27.

259 papers.

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  1. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,618
  2. 2021Multi-Stage Progressive Image Restorationcited by 813
  3. 2022MAXIM: Multi-Axis MLP for Image Processingcited by 301
  4. 2021HINet: Half Instance Normalization Network for Image Restorationcited by 236
  5. 2022Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Modelscited by 215
  6. 2023Learning A Sparse Transformer Network for Effective Image Derainingcited by 204
  7. 2021PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localizationcited by 133
  8. 2022Deep Generalized Unfolding Networks for Image Restorationcited by 119
  9. 2023PromptIR: Prompting for All-in-One Blind Image Restorationcited by 113
  10. 2024AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulationcited by 108
  11. 2023AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusioncited by 98
  12. 2024VmambaIR: Visual State Space Model for Image Restorationcited by 90
38 more
  1. 2021Intriguing Findings of Frequency Selection for Image Deblurringcited by 80
  2. 2021Spatially-Adaptive Image Restoration using Distortion-Guided Networkscited by 77
  3. 2024Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Modelcited by 73
  4. 2024Complexity Experts are Task-Discriminative Learners for Any Image Restorationcited by 72
  5. 2023Residual Denoising Diffusion Modelscited by 68
  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. 2021Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancementcited by 60
  10. 2024Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restorationcited by 60
  11. 2024FreqMamba: Viewing Mamba from a Frequency Perspective for Image Derainingcited by 57
  12. 2023A Comparative Study of Image Restoration Networks for General Backbone Network Designcited by 56
  13. 2024Bidirectional Multi-Scale Implicit Neural Representations for Image Derainingcited by 54
  14. 2022Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyondcited by 48
  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. 2022Toward Real-world Single Image Deraining: A New Benchmark and Beyondcited by 40
  18. 2024U-shaped Vision Mamba for Single Image Dehazingcited by 40
  19. 2023From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removalcited by 39
  20. 2025Degradation-Aware Feature Perturbation for All-in-One Image Restorationcited by 39
  21. 2024FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restorationcited by 37
  22. 2025Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networkscited by 37
  23. 2023Improving Image Restoration through Removing Degradations in Textual Representationscited by 36
  24. 2025MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restorationcited by 36
  25. 2021Image Inpainting by End-to-End Cascaded Refinement with Mask Awarenesscited by 35
  26. 2023Towards Unified Deep Image Deraining: A Survey and A New Benchmarkcited by 34
  27. 2023KBNet: Kernel Basis Network for Image Restorationcited by 33
  28. 2021Robust Representation Learning with Feedback for Single Image Derainingcited by 32
  29. 2024FourierMamba: Fourier Learning Integration with State Space Models for Image Derainingcited by 32
  30. 2021Semi-Supervised Video Deraining with Dynamical Rain Generatorcited by 31
  31. 2022Not Just Streaks: Towards Ground Truth for Single Image Derainingcited by 31
  32. 2022Unsupervised Deraining: Where Contrastive Learning Meets Self-similaritycited by 30
  33. 2024Efficient Visual State Space Model for Image Deblurringcited by 27
  34. 2025Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restorationcited by 27
  35. 2022DRT: A Lightweight Single Image Deraining Recursive Transformercited by 26
  36. 2025Visual-Instructed Degradation Diffusion for All-in-One Image Restorationcited by 26
  37. 2023Tracker Meets Night: A Transformer Enhancer for UAV Trackingcited by 23
  38. 2023Prompt-based Ingredient-Oriented All-in-One Image Restorationcited by 22

50 most cited of 259 All 259 (JSON)