mlsanityData to 14 Oct 2026

NTIRE 2021 Challenge on Image Deblurring

arXiv 2104.14854 ↗First posted 30 Apr 2021cs.CVcited by 50

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Abstract (arXiv)

Motion blur is a common photography artifact in dynamic environments that typically comes jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on Image Deblurring. In this challenge report, we describe the challenge specifics and the evaluation results from the 2 competition tracks with the proposed solutions. While both the tracks aim to recover a high-quality clean image from a blurry image, different artifacts are jointly involved. In track 1, the blurry images are in a low resolution while track 2 images are compressed in JPEG format. In each competition, there were 338 and 238 registered participants and in the final testing phase, 18 and 17 teams competed. The winning methods demonstrate the state-of-the-art performance on the image deblurring task with the jointly combined artifacts.

Key facts. Cited by 50 papers in the map (data through 14 Oct 2026). Builds on 56 of its 113 references that are in the map. First posted on arXiv 30 Apr 2021.

Builds on

56 of 113 references.

References · 56

  1. 2017Attention Is All You Needcited by 60,361
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  3. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  4. 2015Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shiftcited by 7,005
  5. 2017Non-local Neural Networkscited by 2,293
  6. 2016Identity Mappings in Deep Residual Networkscited by 1,965
  7. 2016Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Networkcited by 1,908
  8. 2017Enhanced Deep Residual Networks for Single Image Super-Resolutioncited by 1,552
  9. 2018Image Super-Resolution Using Very Deep Residual Channel Attention Networkscited by 1,264
  10. 2018ESRGAN: Enhanced Super-Resolution Generative Adversarial Networkscited by 1,254
  11. 2016Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Networkcited by 1,204
  12. 2016Instance Normalization: The Missing Ingredient for Fast Stylizationcited by 1,198
38 more
  1. 2015Multi-Scale Context Aggregation by Dilated Convolutionscited by 1,133
  2. 2015Accurate Image Super-Resolution Using Very Deep Convolutional Networkscited by 903
  3. 2020Pre-Trained Image Processing Transformercited by 893
  4. 2021Multi-Stage Progressive Image Restorationcited by 816
  5. 2016Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurringcited by 727
  6. 2018Deformable ConvNets v2: More Deformable, Better Resultscited by 670
  7. 2019EDVR: Video Restoration with Enhanced Deformable Convolutional Networkscited by 494
  8. 2017Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolutioncited by 453
  9. 2019Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Modelcited by 403
  10. 2016Accelerating the Super-Resolution Convolutional Neural Networkcited by 394
  11. 2017DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networkscited by 367
  12. 2019DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Bettercited by 362
  13. 2018Scale-recurrent Network for Deep Image Deblurringcited by 333
  14. 2018Deep Back-Projection Networks For Super-Resolutioncited by 225
  15. 2019Deep Stacked Hierarchical Multi-patch Network for Image Deblurringcited by 206
  16. 2019Blind Super-Resolution With Iterative Kernel Correctioncited by 203
  17. 2018Multi-level Wavelet-CNN for Image Restorationcited by 184
  18. 2020Human-Aware Motion Deblurringcited by 175
  19. 2019Feedback Network for Image Super-Resolutioncited by 155
  20. 2015Compression Artifacts Reduction by a Deep Convolutional Networkcited by 136
  21. 2020Residual Feature Distillation Network for Lightweight Image Super-Resolutioncited by 122
  22. 2020Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurringcited by 119
  23. 2019Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernelscited by 112
  24. 2019Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Trainingcited by 112
  25. 2020Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolutioncited by 90
  26. 2020Efficient Image Super-Resolution Using Pixel Attentioncited by 87
  27. 2020Rotate to Attend: Convolutional Triplet Attention Modulecited by 75
  28. 2018Wide Activation for Efficient and Accurate Image Super-Resolutioncited by 65
  29. 2019Densely Residual Laplacian Super-Resolutioncited by 57
  30. 2015Seven ways to improve example-based single image super resolutioncited by 51
  31. 2018Crafting a Toolchain for Image Restoration by Deep Reinforcement Learningcited by 47
  32. 2021BANet: Blur-aware Attention Networks for Dynamic Scene Deblurringcited by 45
  33. 2019Unsupervised Domain-Specific Deblurring via Disentangled Representationscited by 37
  34. 2019DAVANet: Stereo Deblurring with View Aggregationcited by 37
  35. 2021NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Resultscited by 26
  36. 2021NTIRE 2021 Depth Guided Image Relighting Challengecited by 23
  37. 2020MDCN: Multi-scale Dense Cross Network for Image Super-Resolutioncited by 19
  38. 2017Motion Deblurring in the Wildcited by 17

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 9; 2022: 11; 2023: 9; 2024: 9; 2025: 8; 2026: 4.

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  1. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,627
  2. 2022Simple Baselines for Image Restorationcited by 708
  3. 2022MAXIM: Multi-Axis MLP for Image Processingcited by 302
  4. 2021HINet: Half Instance Normalization Network for Image Restorationcited by 237
  5. 20223D Common Corruptions and Data Augmentationcited by 119
  6. 2021Intriguing Findings of Frequency Selection for Image Deblurringcited by 81
  7. 2021NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Resultscited by 36
  8. 2025MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restorationcited by 36
  9. 2023KBNet: Kernel Basis Network for Image Restorationcited by 33
  10. 2023NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancementcited by 31
  11. 2021Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurringcited by 25
  12. 2021NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Resultscited by 22
38 more
  1. 2023A Unified Conditional Framework for Diffusion-based Image Restorationcited by 22
  2. 2024LoFormer: Local Frequency Transformer for Image Deblurringcited by 20
  3. 2021NTIRE 2021 Challenge on Perceptual Image Quality Assessmentcited by 18
  4. 2022Perceptual Image Enhancement for Smartphone Real-Time Applicationscited by 18
  5. 2025Hybrid Agents for Image Restorationcited by 17
  6. 2022MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Resultscited by 14
  7. 2025NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Resultscited by 12
  8. 2022Blind Image Deblurring with Unknown Kernel Size and Substantial Noisecited by 10
  9. 2023Learning to Super-Resolve Blurry Images with Eventscited by 10
  10. 2021EDPN: Enhanced Deep Pyramid Network for Blurry Image Restorationcited by 9
  11. 2023Wasserstein Distortion: Unifying Fidelity and Realismcited by 8
  12. 2021NTIRE 2021 Multi-modal Aerial View Object Classification Challengecited by 7
  13. 2022Blind Image Deconvolution Using Variational Deep Image Priorcited by 5
  14. 2022Conformer and Blind Noisy Students for Improved Image Quality Assessmentcited by 5
  15. 2022Real-Time Under-Display Cameras Image Restoration and HDR on Mobile Devicescited by 5
  16. 2023MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devicescited by 5
  17. 2025BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenescited by 4
  18. 2023Decomposition Ascribed Synergistic Learning for Unified Image Restorationcited by 3
  19. 2022SVBR-NET: A Non-Blind Spatially Varying Defocus Blur Removal Networkcited by 2
  20. 2024Efficient Concertormer for Image Deblurring and Beyondcited by 2
  21. 2025UniFlowRestore: A General Video Restoration Framework via Flow Matching and Prompt Guidancecited by 2
  22. 2025Efficient Real-World Deblurring using Single Images: AIM 2025 Challenge Reportcited by 2
  23. 2025Test-Time Preference Optimization for Image Restorationcited by 2
  24. 2026DiTTo: Scalable Order-aware All-in-One Image Restoration Agentcited by 2
  25. 2023Cross-domain Denoising for Low-dose Multi-frame Spiral Computed Tomographycited by 1
  26. 2023A Stronger Stitching Algorithm for Fisheye Images based on Deblurring and Registrationcited by 1
  27. 2024Empowering Image Recovery_ A Multi-Attention Approachcited by 1
  28. 2024Super-Resolving Blurry Images with Eventscited by 1
  29. 2024EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Modelscited by 1
  30. 2022Assessing the Role of Datasets in the Generalization of Motion Deblurring Methods to Real Imagescited by 0
  31. 2024Look-Around Before You Leap: High-Frequency Injected Transformer for Image Restorationcited by 0
  32. 2024Spread Your Wings: A Radial Strip Transformer for Image Deblurringcited by 0
  33. 2024Exploring the Efficacy of Group-Normalization in Deep Learning Models for Alzheimer's Disease Classificationcited by 0
  34. 2024Restorer: Removing Multi-Degradation with All-Axis Attention and Prompt Guidancecited by 0
  35. 2025DeepRFTv2: Kernel-level Learning for Image Deblurringcited by 0
  36. 2026FSM-Net: An Efficient Frequency-Spatial Network for Real-World Deblurringcited by 0
  37. 2026Benchmarking RAW and RGB Restoration in Image Signal Processorscited by 0
  38. 2026UniDeblur: Unified Motion Deblurring via Fourier Convolution Learningcited by 0