mlsanityData to 7 Oct 2026

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

arXiv 1908.03826 ↗First posted 10 Aug 2019cs.CV cs.LGcited by 361

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Cited by 38 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We present a new end-to-end generative adversarial network (GAN) for single image motion deblurring, named DeblurGAN-v2, which considerably boosts state-of-the-art deblurring efficiency, quality, and flexibility. DeblurGAN-v2 is based on a relativistic conditional GAN with a double-scale discriminator. For the first time, we introduce the Feature Pyramid Network into deblurring, as a core building block in the generator of DeblurGAN-v2. It can flexibly work with a wide range of backbones, to navigate the balance between performance and efficiency. The plug-in of sophisticated backbones (e.g., Inception-ResNet-v2) can lead to solid state-of-the-art deblurring. Meanwhile, with light-weight backbones (e.g., MobileNet and its variants), DeblurGAN-v2 reaches 10-100 times faster than the nearest competitors, while maintaining close to state-of-the-art results, implying the option of real-time video deblurring. We demonstrate that DeblurGAN-v2 obtains very competitive performance on several popular benchmarks, in terms of deblurring quality (both objective and subjective), as well as efficiency. Besides, we show the architecture to be effective for general image restoration tasks too. Our codes, models and data are available at: https://github.com/KupynOrest/DeblurGANv2

Key facts. Cited by 361 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Aug 2019.

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Citing papers per year: 2021: 61; 2022: 79; 2023: 69; 2024: 77; 2025: 50; 2026: 25.

361 papers.

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  1. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,618
  2. 2022Denoising Diffusion Restoration Modelscited by 951
  3. 2021Uformer: A General U-Shaped Transformer for Image Restorationcited by 864
  4. 2021Multi-Stage Progressive Image Restorationcited by 813
  5. 2021Towards Real-World Blind Face Restoration with Generative Facial Priorcited by 347
  6. 2021Rethinking Coarse-to-Fine Approach in Single Image Deblurringcited by 324
  7. 2022MAXIM: Multi-Axis MLP for Image Processingcited by 301
  8. 2023DiffIR: Efficient Diffusion Model for Image Restorationcited by 253
  9. 2021Deblurring via Stochastic Refinementcited by 248
  10. 2021HINet: Half Instance Normalization Network for Image Restorationcited by 236
  11. 2023Generative Diffusion Prior for Unified Image Restoration and Enhancementcited by 198
  12. 2021SNIPS: Solving Noisy Inverse Problems Stochasticallycited by 191
38 more
  1. 2023Image Restoration with Mean-Reverting Stochastic Differential Equationscited by 182
  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. 2021TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Upcited by 162
  6. 2022Learning Enriched Features for Fast Image Restoration and Enhancementcited by 150
  7. 2023Efficient and Explicit Modelling of Image Hierarchies for Image Restorationcited by 145
  8. 2022Stripformer: Strip Transformer for Fast Image Deblurringcited by 139
  9. 2024InstructIR: High-Quality Image Restoration Following Human Instructionscited by 139
  10. 2022Deep Generalized Unfolding Networks for Image Restorationcited by 119
  11. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  12. 2022Parallel Diffusion Models of Operator and Image for Blind Inverse Problemscited by 113
  13. 2021Event-Based Fusion for Motion Deblurring with Cross-modal Attentioncited by 112
  14. 2023Controlling Vision-Language Models for Multi-Task Image Restorationcited by 108
  15. 2022LEDNet: Joint Low-light Enhancement and Deblurring in the Darkcited by 95
  16. 2022Deep Image Deblurring: A Surveycited by 94
  17. 2023Hierarchical Integration Diffusion Model for Realistic Image Deblurringcited by 87
  18. 2021Intriguing Findings of Frequency Selection for Image Deblurringcited by 80
  19. 2022BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fieldscited by 80
  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. 2023Residual Denoising Diffusion Modelscited by 68
  24. 2024Efficient Diffusion Model for Image Restoration by Residual Shiftingcited by 64
  25. 2025HVI: A New Color Space for Low-light Image Enhancementcited by 62
  26. 2024BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splattingcited by 61
  27. 2021SSH: A Self-Supervised Framework for Image Harmonizationcited by 60
  28. 2024DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Modelscited by 60
  29. 2021Explore Image Deblurring via Blur Kernel Spacecited by 58
  30. 2023GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restorationcited by 58
  31. 2022TAPE: Task-Agnostic Prior Embedding for Image Restorationcited by 54
  32. 2022Realistic Blur Synthesis for Learning Image Deblurringcited by 51
  33. 2021NTIRE 2021 Challenge on Image Deblurringcited by 49
  34. 2024DarkIR: Robust Low-Light Image Restorationcited by 48
  35. 2023WaveDM: Wavelet-Based Diffusion Models for Image Restorationcited by 46
  36. 2022JPEG Artifact Correction using Denoising Diffusion Restoration Modelscited by 45
  37. 2021BANet: Blur-aware Attention Networks for Dynamic Scene Deblurringcited by 44
  38. 2022Learning Dual Memory Dictionaries for Blind Face Restorationcited by 40

50 most cited of 361 All 361 (JSON)