mlsanityData to 13 Oct 2026

Attentive Generative Adversarial Network for Raindrop Removal from a Single Image

arXiv 1711.10098 ↗First posted 28 Nov 2017cs.CVcited by 204

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Cited by 30 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Raindrops adhered to a glass window or camera lens can severely hamper the visibility of a background scene and degrade an image considerably. In this paper, we address the problem by visually removing raindrops, and thus transforming a raindrop degraded image into a clean one. The problem is intractable, since first the regions occluded by raindrops are not given. Second, the information about the background scene of the occluded regions is completely lost for most part. To resolve the problem, we apply an attentive generative network using adversarial training. Our main idea is to inject visual attention into both the generative and discriminative networks. During the training, our visual attention learns about raindrop regions and their surroundings. Hence, by injecting this information, the generative network will pay more attention to the raindrop regions and the surrounding structures, and the discriminative network will be able to assess the local consistency of the restored regions. This injection of visual attention to both generative and discriminative networks is the main contribution of this paper. Our experiments show the effectiveness of our approach, which outperforms the state of the art methods quantitatively and qualitatively.

Key facts. Cited by 204 papers in the map (data through 13 Oct 2026). First posted on arXiv 28 Nov 2017.

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2021: 31; 2022: 23; 2023: 26; 2024: 41; 2025: 55; 2026: 28.

204 papers.

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  1. 2021Multi-Stage Progressive Image Restorationcited by 813
  2. 2022MAXIM: Multi-Axis MLP for Image Processingcited by 301
  3. 2021TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditionscited by 244
  4. 2022Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Modelscited by 215
  5. 2023Diffusion Models for Image Restoration and Enhancement: A Comprehensive Surveycited by 109
  6. 2024AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulationcited by 109
  7. 2023Controlling Vision-Language Models for Multi-Task Image Restorationcited by 108
  8. 2023AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusioncited by 99
  9. 2021Deep Dense Multi-scale Network for Snow Removal Using Semantic and Geometric Priorscited by 82
  10. 2021Spatially-Adaptive Image Restoration using Distortion-Guided Networkscited by 77
  11. 2024Restoring Images in Adverse Weather Conditions via Histogram Transformercited by 73
  12. 2022DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Networkcited by 69
38 more
  1. 2023Residual Denoising Diffusion Modelscited by 68
  2. 2021Structure-Preserving Deraining with Residue Channel Prior Guidancecited by 63
  3. 2023GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditionscited by 62
  4. 2024A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trendscited by 59
  5. 2022TAPE: Task-Agnostic Prior Embedding for Image Restorationcited by 55
  6. 2021Attention, please! A survey of Neural Attention Models in Deep Learningcited by 50
  7. 2023WaveDM: Wavelet-Based Diffusion Models for Image Restorationcited by 47
  8. 2023Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streakscited by 45
  9. 2024FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restorationcited by 38
  10. 2021Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translationcited by 36
  11. 2023Language-driven All-in-one Adverse Weather Removalcited by 36
  12. 2024RobustSAM: Segment Anything Robustly on Degraded Imagescited by 36
  13. 2023Towards Unified Deep Image Deraining: A Survey and A New Benchmarkcited by 34
  14. 2021Robust Representation Learning with Feedback for Single Image Derainingcited by 32
  15. 2024PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructionscited by 31
  16. 2021Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Frameworkcited by 30
  17. 2022Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Trainingcited by 29
  18. 2025Visual-Instructed Degradation Diffusion for All-in-One Image Restorationcited by 26
  19. 2021Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removalcited by 24
  20. 2022RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmarkcited by 24
  21. 2024MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformerscited by 24
  22. 2025NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Resultscited by 22
  23. 2024CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generationcited by 21
  24. 2025Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Datacited by 21
  25. 2023Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noisecited by 19
  26. 2024DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environmentscited by 19
  27. 2021Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networkscited by 18
  28. 2021Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Priorcited by 18
  29. 2021Blind Image Decompositioncited by 18
  30. 2024Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restorationcited by 18
  31. 2024Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image Restorationcited by 18
  32. 2024LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restorationcited by 18
  33. 2024Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removalcited by 17
  34. 2024UAV-Rain1k: A Benchmark for Raindrop Removal from UAV Aerial Imagerycited by 15
  35. 2024Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restorationcited by 15
  36. 2025Hybrid Agents for Image Restorationcited by 15
  37. 2021Visible Watermark Removal via Self-calibrated Localization and Background Refinementcited by 14
  38. 2024Sharing Key Semantics in Transformer Makes Efficient Image Restorationcited by 14

50 most cited of 204 All 204 (JSON)