mlsanityData to 7 Oct 2026

Deep Semantic Face Deblurring

arXiv 1803.03345 ↗First posted 9 Mar 2018cs.CVcited by 80

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Abstract (arXiv)

In this paper, we present an effective and efficient face deblurring algorithm by exploiting semantic cues via deep convolutional neural networks (CNNs). As face images are highly structured and share several key semantic components (e.g., eyes and mouths), the semantic information of a face provides a strong prior for restoration. As such, we propose to incorporate global semantic priors as input and impose local structure losses to regularize the output within a multi-scale deep CNN. We train the network with perceptual and adversarial losses to generate photo-realistic results and develop an incremental training strategy to handle random blur kernels in the wild. Quantitative and qualitative evaluations demonstrate that the proposed face deblurring algorithm restores sharp images with more facial details and performs favorably against state-of-the-art methods in terms of restoration quality, face recognition and execution speed.

Key facts. Cited by 80 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Mar 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 18; 2022: 25; 2023: 13; 2024: 12; 2025: 9; 2026: 3.

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  1. 2021Towards Real-World Blind Face Restoration with Generative Facial Priorcited by 347
  2. 2022Towards Robust Blind Face Restoration with Codebook Lookup Transformercited by 230
  3. 2021GAN Prior Embedded Network for Blind Face Restoration in the Wildcited by 197
  4. 2022VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decodercited by 116
  5. 2022DifFace: Blind Face Restoration with Diffused Error Contractioncited by 96
  6. 2022Deep Image Deblurring: A Surveycited by 94
  7. 2022RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairscited by 85
  8. 2023DR2: Diffusion-based Robust Degradation Remover for Blind Face Restorationcited by 79
  9. 2021Explore Image Deblurring via Blur Kernel Spacecited by 58
  10. 2022Learning Dual Memory Dictionaries for Blind Face Restorationcited by 40
  11. 2022GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priorscited by 39
  12. 2023RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairscited by 33
38 more
  1. 2024OSDFace: One-Step Diffusion Model for Face Restorationcited by 33
  2. 2021MC-Blur: A Comprehensive Benchmark for Image Deblurringcited by 27
  3. 2023FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitudecited by 27
  4. 2022Blur Interpolation Transformer for Real-World Motion from Blurcited by 25
  5. 2022Learning to restore images degraded by atmospheric turbulence using uncertaintycited by 23
  6. 2023Dual Associated Encoder for Face Restorationcited by 23
  7. 2024WaveFace: Authentic Face Restoration with Efficient Frequency Recoverycited by 20
  8. 2021Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Priorcited by 18
  9. 2021Joint Face Image Restoration and Frontalization for Recognitioncited by 18
  10. 2022Face Deblurring using Dual Camera Fusion on Mobile Phonescited by 18
  11. 2023Towards Authentic Face Restoration with Iterative Diffusion Models and Beyondcited by 18
  12. 2023Survey on Deep Face Restoration: From Non-blind to Blind and Beyondcited by 18
  13. 2022Deep Face Restoration: A Surveycited by 17
  14. 2021GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazingcited by 14
  15. 2021Multi-modality Deep Restoration of Extremely Compressed Face Videoscited by 14
  16. 2024InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attentioncited by 13
  17. 2026The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Resultscited by 13
  18. 2024Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Modelcited by 12
  19. 2021Unpaired Learning for High Dynamic Range Image Tone Mappingcited by 10
  20. 2022Blind Face Restoration: Benchmark Datasets and a Baseline Modelcited by 10
  21. 2025NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Resultscited by 10
  22. 2025InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restorationcited by 9
  23. 2022Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancementcited by 7
  24. 2021Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understandingcited by 6
  25. 2023Dual-Camera Joint Deblurring-Denoisingcited by 6
  26. 2023HyperLips: Hyper Control Lips with High Resolution Decoder for Talking Face Generationcited by 6
  27. 2024CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Modelscited by 5
  28. 2025DiffusionReward: Enhancing Blind Face Restoration through Reward Feedback Learningcited by 5
  29. 2022Label-only Model Inversion Attack: The Attack that Requires the Least Informationcited by 4
  30. 2022FaceFormer: Scale-aware Blind Face Restoration with Transformerscited by 4
  31. 2022Fantomas: Understanding Face Anonymization Reversibilitycited by 4
  32. 2024AuthFace: Towards Authentic Blind Face Restoration with Face-oriented Generative Diffusion Priorcited by 4
  33. 2022Priors in Deep Image Restoration and Enhancement: A Surveycited by 3
  34. 2022Multi-Prior Learning via Neural Architecture Search for Blind Face Restorationcited by 3
  35. 2022Rethinking Super-Resolution as Text-Guided Details Generationcited by 3
  36. 2023Personalized Restoration via Dual-Pivot Tuningcited by 3
  37. 2024CLIP-SR: Collaborative Linguistic and Image Processing for Super-Resolutioncited by 3
  38. 2021Network Architecture Search for Face Enhancementcited by 2

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