mlsanityData to 7 Oct 2026

Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains

arXiv 2403.16205 ↗First posted 24 Mar 2024cs.CVcited by 9

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Abstract (arXiv)

This paper presents an innovative framework designed to train an image deblurring algorithm tailored to a specific camera device. This algorithm works by transforming a blurry input image, which is challenging to deblur, into another blurry image that is more amenable to deblurring. The transformation process, from one blurry state to another, leverages unpaired data consisting of sharp and blurry images captured by the target camera device. Learning this blur-to-blur transformation is inherently simpler than direct blur-to-sharp conversion, as it primarily involves modifying blur patterns rather than the intricate task of reconstructing fine image details. The efficacy of the proposed approach has been demonstrated through comprehensive experiments on various benchmarks, where it significantly outperforms state-of-the-art methods both quantitatively and qualitatively. Our code and data are available at https://zero1778.github.io/blur2blur/

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 29 of its 44 references that are in the map. First posted on arXiv 24 Mar 2024.

Builds on

29 of 44 references.

References · 29

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  3. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  4. 2022Generative Adversarial Networkscited by 5,603
  5. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  6. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
  7. 2017Improved Training of Wasserstein GANscited by 2,223
  8. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,618
  9. 2021Multi-Stage Progressive Image Restorationcited by 813
  10. 2016Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurringcited by 722
  11. 2022Simple Baselines for Image Restorationcited by 701
  12. 2021Designing a Practical Degradation Model for Deep Blind Image Super-Resolutioncited by 524
17 more
  1. 2017DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networkscited by 366
  2. 2019DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Bettercited by 361
  3. 2018Scale-recurrent Network for Deep Image Deblurringcited by 332
  4. 2021Rethinking Coarse-to-Fine Approach in Single Image Deblurringcited by 324
  5. 2017DualGAN: Unsupervised Dual Learning for Image-to-Image Translationcited by 310
  6. 2021HINet: Half Instance Normalization Network for Image Restorationcited by 236
  7. 2020Human-Aware Motion Deblurringcited by 174
  8. 2020MediaPipe Hands: On-device Real-time Hand Trackingcited by 157
  9. 2020Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurringcited by 119
  10. 2019Neural Blind Deconvolution Using Deep Priorscited by 113
  11. 2021Explore Image Deblurring via Blur Kernel Spacecited by 58
  12. 2022Realistic Blur Synthesis for Learning Image Deblurringcited by 51
  13. 2020MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolutioncited by 38
  14. 2019Unsupervised Domain-Specific Deblurring via Disentangled Representationscited by 37
  15. 2020Raw Image Deblurringcited by 22
  16. 2022FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurringcited by 18
  17. 2023HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Orderingcited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 6; 2026: 3.

9 papers.

  1. 2025From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Camerascited by 3
  2. 2025Sim-to-Real: An Unsupervised Noise Layer for Screen-Camera Watermarking Robustnesscited by 2
  3. 2025Learning Deblurring Texture Prior from Unpaired Data with Diffusion Modelcited by 2
  4. 2025Motion-Aware Adaptive Pixel Pruning for Efficient Local Motion Deblurringcited by 0
  5. 2025SelfHVD: Self-Supervised Handheld Video Deblurringcited by 0
  6. 2025Generative Manifold Distillation: Aligning Restoration Trajectories with Natural Image Priorcited by 0
  7. 2026BluRef: Unsupervised Image Deblurring with Dense-Matching Referencescited by 0
  8. 2026MatRes: Zero-Shot Test-Time Model Adaptation for Simultaneous Matching and Restorationcited by 0
  9. 2026EvBS: Event-guided Blur Synthesis for Domain-adaptive Motion Deblurringcited by 0