mlsanityData to 7 Oct 2026

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

arXiv 1711.07064 ↗First posted 19 Nov 2017cs.CVcited by 366

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Cited by 32 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We present DeblurGAN, an end-to-end learned method for motion deblurring. The learning is based on a conditional GAN and the content loss . DeblurGAN achieves state-of-the art performance both in the structural similarity measure and visual appearance. The quality of the deblurring model is also evaluated in a novel way on a real-world problem -- object detection on (de-)blurred images. The method is 5 times faster than the closest competitor -- DeepDeblur. We also introduce a novel method for generating synthetic motion blurred images from sharp ones, allowing realistic dataset augmentation. The model, code and the dataset are available at https://github.com/KupynOrest/DeblurGAN

Key facts. Cited by 366 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Nov 2017.

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Citing papers per year: 2020: 1; 2021: 81; 2022: 80; 2023: 57; 2024: 75; 2025: 46; 2026: 26.

366 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. 2021Towards Real-World Blind Face Restoration with Generative Facial Priorcited by 347
  5. 2021Rethinking Coarse-to-Fine Approach in Single Image Deblurringcited by 324
  6. 2022MAXIM: Multi-Axis MLP for Image Processingcited by 301
  7. 2023DiffIR: Efficient Diffusion Model for Image Restorationcited by 253
  8. 2021Deblurring via Stochastic Refinementcited by 248
  9. 2021HINet: Half Instance Normalization Network for Image Restorationcited by 236
  10. 2021GAN Prior Embedded Network for Blind Face Restoration in the Wildcited by 197
  11. 2023Image Restoration with Mean-Reverting Stochastic Differential Equationscited by 182
  12. 2021Deblur-NeRF: Neural Radiance Fields from Blurry Imagescited by 179
38 more
  1. 2024A Survey on Diffusion Models for Inverse Problemscited by 173
  2. 2022Generative Modelling With Inverse Heat Dissipationcited by 164
  3. 2022Efficient Frequency Domain-based Transformers for High-Quality Image Deblurringcited by 164
  4. 2023Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restorationcited by 164
  5. 2023Efficient and Explicit Modelling of Image Hierarchies for Image Restorationcited by 145
  6. 2024InstructIR: High-Quality Image Restoration Following Human Instructionscited by 139
  7. 2022Deep Generalized Unfolding Networks for Image Restorationcited by 119
  8. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  9. 2022VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decodercited by 116
  10. 2022Parallel Diffusion Models of Operator and Image for Blind Inverse Problemscited by 113
  11. 2021Event-Based Fusion for Motion Deblurring with Cross-modal Attentioncited by 112
  12. 2023Diffusion Models for Image Restoration and Enhancement: A Comprehensive Surveycited by 108
  13. 2023Controlling Vision-Language Models for Multi-Task Image Restorationcited by 108
  14. 2022LEDNet: Joint Low-light Enhancement and Deblurring in the Darkcited by 95
  15. 2022Deep Image Deblurring: A Surveycited by 94
  16. 2022Blurring Diffusion Modelscited by 89
  17. 2023Hierarchical Integration Diffusion Model for Realistic Image Deblurringcited by 87
  18. 2021Intriguing Findings of Frequency Selection for Image Deblurringcited by 80
  19. 2023DR2: Diffusion-based Robust Degradation Remover for Blind Face Restorationcited by 79
  20. 2021Spatially-Adaptive Image Restoration using Distortion-Guided Networkscited by 77
  21. 2022Multiscale Structure Guided Diffusion for Image Deblurringcited by 76
  22. 2022DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priorscited by 70
  23. 2024DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Modelscited by 60
  24. 2024Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restorationcited by 60
  25. 2021Explore Image Deblurring via Blur Kernel Spacecited by 58
  26. 2021Rebooting ACGAN: Auxiliary Classifier GANs with Stable Trainingcited by 57
  27. 2021ARVo: Learning All-Range Volumetric Correspondence for Video Deblurringcited by 54
  28. 2022Realistic Blur Synthesis for Learning Image Deblurringcited by 51
  29. 2021NTIRE 2021 Challenge on Image Deblurringcited by 49
  30. 2021BANet: Blur-aware Attention Networks for Dynamic Scene Deblurringcited by 44
  31. 2021Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumescited by 41
  32. 2024RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Modelscited by 41
  33. 2022Learning Dual Memory Dictionaries for Blind Face Restorationcited by 40
  34. 2025Degradation-Aware Feature Perturbation for All-in-One Image Restorationcited by 39
  35. 2024A Comprehensive Survey on Data Augmentationcited by 38
  36. 2021DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurringcited by 36
  37. 2024RobustSAM: Segment Anything Robustly on Degraded Imagescited by 36
  38. 2022Learning Degradation Representations for Image Deblurringcited by 35

50 most cited of 366 All 366 (JSON)