mlsanityData to 7 Oct 2026

Human-Aware Motion Deblurring

arXiv 2001.06816 ↗First posted 19 Jan 2020cs.CVcited by 174

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Cited by 24 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

This paper proposes a human-aware deblurring model that disentangles the motion blur between foreground (FG) humans and background (BG). The proposed model is based on a triple-branch encoder-decoder architecture. The first two branches are learned for sharpening FG humans and BG details, respectively; while the third one produces global, harmonious results by comprehensively fusing multi-scale deblurring information from the two domains. The proposed model is further endowed with a supervised, human-aware attention mechanism in an end-to-end fashion. It learns a soft mask that encodes FG human information and explicitly drives the FG/BG decoder-branches to focus on their specific domains. To further benefit the research towards Human-aware Image Deblurring, we introduce a large-scale dataset, named HIDE, which consists of 8,422 blurry and sharp image pairs with 65,784 densely annotated FG human bounding boxes. HIDE is specifically built to span a broad range of scenes, human object sizes, motion patterns, and background complexities. Extensive experiments on public benchmarks and our dataset demonstrate that our model performs favorably against the state-of-the-art motion deblurring methods, especially in capturing semantic details.

Key facts. Cited by 174 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Jan 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 23; 2022: 25; 2023: 23; 2024: 53; 2025: 33; 2026: 17.

174 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. 2021Rethinking Coarse-to-Fine Approach in Single Image Deblurringcited by 324
  5. 2022MAXIM: Multi-Axis MLP for Image Processingcited by 301
  6. 2023DiffIR: Efficient Diffusion Model for Image Restorationcited by 253
  7. 2021Deblurring via Stochastic Refinementcited by 248
  8. 2022Efficient Frequency Domain-based Transformers for High-Quality Image Deblurringcited by 164
  9. 2023Efficient and Explicit Modelling of Image Hierarchies for Image Restorationcited by 145
  10. 2022Stripformer: Strip Transformer for Fast Image Deblurringcited by 139
  11. 2022Deep Generalized Unfolding Networks for Image Restorationcited by 119
  12. 2023Diffusion Models for Image Restoration and Enhancement: A Comprehensive Surveycited by 108
38 more
  1. 2023AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusioncited by 98
  2. 2022LEDNet: Joint Low-light Enhancement and Deblurring in the Darkcited by 95
  3. 2022Deep Image Deblurring: A Surveycited by 94
  4. 2023Hierarchical Integration Diffusion Model for Realistic Image Deblurringcited by 87
  5. 2021Intriguing Findings of Frequency Selection for Image Deblurringcited by 80
  6. 2021Spatially-Adaptive Image Restoration using Distortion-Guided Networkscited by 77
  7. 2022Multiscale Structure Guided Diffusion for Image Deblurringcited by 76
  8. 2024Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Modelcited by 73
  9. 2024Diffusion Models in Low-Level Vision: A Surveycited by 73
  10. 2024I2EBench: A Comprehensive Benchmark for Instruction-based Image Editingcited by 61
  11. 2021Improving Image Restoration by Revisiting Global Information Aggregationcited by 60
  12. 2024A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trendscited by 58
  13. 2023A Comparative Study of Image Restoration Networks for General Backbone Network Designcited by 56
  14. 2022Realistic Blur Synthesis for Learning Image Deblurringcited by 51
  15. 2021NTIRE 2021 Challenge on Image Deblurringcited by 49
  16. 2021BANet: Blur-aware Attention Networks for Dynamic Scene Deblurringcited by 44
  17. 2024MaIR: A Locality- and Continuity-Preserving Mamba for Image Restorationcited by 43
  18. 2024PromptFix: You Prompt and We Fix the Photocited by 40
  19. 2022Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentationcited by 38
  20. 2023Improving Image Restoration through Removing Degradations in Textual Representationscited by 36
  21. 2025MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restorationcited by 36
  22. 2021Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsingcited by 31
  23. 2021MC-Blur: A Comprehensive Benchmark for Image Deblurringcited by 27
  24. 2024Efficient Visual State Space Model for Image Deblurringcited by 27
  25. 2021SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurringcited by 26
  26. 2024Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurringcited by 25
  27. 2024AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurringcited by 25
  28. 2023DiffI2I: Efficient Diffusion Model for Image-to-Image Translationcited by 24
  29. 2024CU-Mamba: Selective State Space Models with Channel Learning for Image Restorationcited by 24
  30. 2023Prompt-based Ingredient-Oriented All-in-One Image Restorationcited by 22
  31. 2022Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advancescited by 21
  32. 2024Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurringcited by 20
  33. 2024LoFormer: Local Frequency Transformer for Image Deblurringcited by 19
  34. 2022FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurringcited by 18
  35. 2022Multi-scale frequency separation network for image deblurringcited by 18
  36. 2023SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-Resolutioncited by 18
  37. 2024LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restorationcited by 18
  38. 2022Self-Supervised Image Restoration with Blurry and Noisy Pairscited by 17

50 most cited of 174 All 174 (JSON)