mlsanityData to 14 Oct 2026

Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training

arXiv 1911.07410 ↗First posted 18 Nov 2019eess.IV cs.CVcited by 112

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Abstract (arXiv)

Multi-scale (MS) approaches have been widely investigated for blind single image / video deblurring that sequentially recovers deblurred images in low spatial scale first and then in high spatial scale later with the output of lower scales. MS approaches have been effective especially for severe blurs induced by large motions in high spatial scale since those can be seen as small blurs in low spatial scale. In this work, we investigate alternative approach to MS, called multi-temporal (MT) approach, for non-uniform single image deblurring. We propose incremental temporal training with constructed MT level dataset from time-resolved dataset, develop novel MT-RNNs with recurrent feature maps, and investigate progressive single image deblurring over iterations. Our proposed MT methods outperform state-of-the-art MS methods on the GoPro dataset in PSNR with the smallest number of parameters.

Key facts. Cited by 112 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Nov 2019.

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Citing papers per year: 2021: 20; 2022: 27; 2023: 23; 2024: 23; 2025: 13; 2026: 6.

112 papers.

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  1. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,627
  2. 2021Multi-Stage Progressive Image Restorationcited by 816
  3. 2021Rethinking Coarse-to-Fine Approach in Single Image Deblurringcited by 326
  4. 2022MAXIM: Multi-Axis MLP for Image Processingcited by 302
  5. 2023DiffIR: Efficient Diffusion Model for Image Restorationcited by 255
  6. 2021HINet: Half Instance Normalization Network for Image Restorationcited by 237
  7. 2023Efficient and Explicit Modelling of Image Hierarchies for Image Restorationcited by 145
  8. 2022Stripformer: Strip Transformer for Fast Image Deblurringcited by 140
  9. 2022Deep Generalized Unfolding Networks for Image Restorationcited by 121
  10. 2022Deep Image Deblurring: A Surveycited by 94
  11. 2023Hierarchical Integration Diffusion Model for Realistic Image Deblurringcited by 88
  12. 2021Intriguing Findings of Frequency Selection for Image Deblurringcited by 81
38 more
  1. 2021Spatially-Adaptive Image Restoration using Distortion-Guided Networkscited by 77
  2. 2021Improving Image Restoration by Revisiting Global Information Aggregationcited by 61
  3. 2021NTIRE 2021 Challenge on Image Deblurringcited by 50
  4. 2021BANet: Blur-aware Attention Networks for Dynamic Scene Deblurringcited by 45
  5. 2024MaIR: A Locality- and Continuity-Preserving Mamba for Image Restorationcited by 45
  6. 2025Degradation-Aware Feature Perturbation for All-in-One Image Restorationcited by 41
  7. 2022Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Modelcited by 37
  8. 2023Improving Image Restoration through Removing Degradations in Textual Representationscited by 36
  9. 2025MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restorationcited by 36
  10. 2022Learning Degradation Representations for Image Deblurringcited by 35
  11. 2022MSSNet: Multi-Scale-Stage Network for Single Image Deblurringcited by 31
  12. 2021MC-Blur: A Comprehensive Benchmark for Image Deblurringcited by 27
  13. 2021SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurringcited by 26
  14. 2021Event-guided Deblurring of Unknown Exposure Time Videoscited by 26
  15. 2024AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurringcited by 25
  16. 2022RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmarkcited by 24
  17. 2023DiffI2I: Efficient Diffusion Model for Image-to-Image Translationcited by 24
  18. 2023Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurringcited by 24
  19. 2022Spatio-Temporal Deformable Attention Network for Video Deblurringcited by 21
  20. 2021Gaussian Kernel Mixture Network for Single Image Defocus Deblurringcited by 20
  21. 2023ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentationcited by 20
  22. 2024Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurringcited by 20
  23. 2022FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurringcited by 18
  24. 2022Multi-scale frequency separation network for image deblurringcited by 18
  25. 2023SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-Resolutioncited by 18
  26. 2021Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurringcited by 17
  27. 2021DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boostingcited by 17
  28. 2023Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Timecited by 16
  29. 2022D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restorationcited by 14
  30. 2023Mixed Hierarchy Network for Image Restorationcited by 14
  31. 2024Sharing Key Semantics in Transformer Makes Efficient Image Restorationcited by 14
  32. 2023Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurringcited by 13
  33. 2022Learning Spatially Varying Pixel Exposures for Motion Deblurringcited by 12
  34. 2022Attentive Fine-Grained Structured Sparsity for Image Restorationcited by 12
  35. 2022UDC-UNet: Under-Display Camera Image Restoration via U-Shape Dynamic Networkcited by 11
  36. 2022Event-based Image Deblurring with Dynamic Motion Awarenesscited by 10
  37. 2023Revisiting Image Deblurring with an Efficient ConvNetcited by 9
  38. 2023Masked Autoencoders as Image Processorscited by 8

50 most cited of 112 All 112 (JSON)