mlsanityData to 7 Oct 2026

HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment

arXiv 2005.05005 ↗First posted 11 May 2020cs.CVcited by 70

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Abstract (arXiv)

Existing face restoration researches typically relies on either the degradation prior or explicit guidance labels for training, which often results in limited generalization ability over real-world images with heterogeneous degradations and rich background contents. In this paper, we investigate the more challenging and practical "dual-blind" version of the problem by lifting the requirements on both types of prior, termed as "Face Renovation"(FR). Specifically, we formulated FR as a semantic-guided generation problem and tackle it with a collaborative suppression and replenishment (CSR) approach. This leads to HiFaceGAN, a multi-stage framework containing several nested CSR units that progressively replenish facial details based on the hierarchical semantic guidance extracted from the front-end content-adaptive suppression modules. Extensive experiments on both synthetic and real face images have verified the superior performance of HiFaceGAN over a wide range of challenging restoration subtasks, demonstrating its versatility, robustness and generalization ability towards real-world face processing applications.

Key facts. Cited by 70 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 May 2020.

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Citing papers per year: 2021: 11; 2022: 21; 2023: 16; 2024: 12; 2025: 10.

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  1. 2021Image Super-Resolution via Iterative Refinementcited by 1,506
  2. 2021Towards Real-World Blind Face Restoration with Generative Facial Priorcited by 347
  3. 2022Towards Robust Blind Face Restoration with Codebook Lookup Transformercited by 230
  4. 2021GAN Prior Embedded Network for Blind Face Restoration in the Wildcited by 197
  5. 2022MegaPortraits: One-shot Megapixel Neural Head Avatarscited by 131
  6. 2022VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decodercited by 116
  7. 2022MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptationcited by 69
  8. 2022Learning Dual Memory Dictionaries for Blind Face Restorationcited by 40
  9. 2022GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priorscited by 39
  10. 2024OSDFace: One-Step Diffusion Model for Face Restorationcited by 33
  11. 2021Deep Learning-based Face Super-Resolution: A Surveycited by 32
  12. 2022IFQA: Interpretable Face Quality Assessmentcited by 24
38 more
  1. 2023Dual Associated Encoder for Face Restorationcited by 23
  2. 2022GAN Prior based Null-Space Learning for Consistent Super-Resolutioncited by 22
  3. 2021LTT-GAN: Looking Through Turbulence by Inverting GANscited by 21
  4. 2023Towards Real-World Blind Face Restoration with Generative Diffusion Priorcited by 21
  5. 2023Low-field magnetic resonance image enhancement via stochastic image quality transfercited by 19
  6. 2023Towards Authentic Face Restoration with Iterative Diffusion Models and Beyondcited by 18
  7. 2023Survey on Deep Face Restoration: From Non-blind to Blind and Beyondcited by 18
  8. 2022T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Modelscited by 17
  9. 2022Deep Face Restoration: A Surveycited by 17
  10. 2023MMNet: Multi-Collaboration and Multi-Supervision Network for Sequential Deepfake Detectioncited by 15
  11. 2024InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attentioncited by 13
  12. 2021EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Datasetcited by 12
  13. 2022Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restorationcited by 12
  14. 2025Show and Polish: Reference-Guided Identity Preservation in Face Video Restorationcited by 12
  15. 2023Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approachcited by 11
  16. 2022Blind Face Restoration: Benchmark Datasets and a Baseline Modelcited by 10
  17. 2022Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolutioncited by 9
  18. 2021Simultaneous Face Hallucination and Translation for Thermal to Visible Face Verification using Axial-GANcited by 8
  19. 2025PocketSR: The Super-Resolution Expert in Your Pocket Mobilescited by 8
  20. 2023Perceptual Quality Improvement in Videoconferencing using Keyframes-based GANcited by 6
  21. 2024Towards Real-world Video Face Restoration: A New Benchmarkcited by 6
  22. 2023Blind Face Restoration for Under-Display Camera via Dictionary Guided Transformercited by 5
  23. 2023FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restorationcited by 5
  24. 2022FaceFormer: Scale-aware Blind Face Restoration with Transformerscited by 4
  25. 2024AuthFace: Towards Authentic Blind Face Restoration with Face-oriented Generative Diffusion Priorcited by 4
  26. 2022Multi-Prior Learning via Neural Architecture Search for Blind Face Restorationcited by 3
  27. 2023Super-Resolving Face Image by Facial Parsing Informationcited by 3
  28. 2023Personalized Restoration via Dual-Pivot Tuningcited by 3
  29. 2021Network Architecture Search for Face Enhancementcited by 2
  30. 2022DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocuscited by 2
  31. 2024W-Net: A Facial Feature-Guided Face Super-Resolution Networkcited by 2
  32. 2024Analysis and Benchmarking of Extending Blind Face Image Restoration to Videoscited by 2
  33. 2025PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space Refinementcited by 2
  34. 2021Universal Face Restoration With Memorized Modulationcited by 1
  35. 2021AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for Face Hallucinationcited by 1
  36. 2021Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace Priorcited by 1
  37. 2022Thermal to Visible Image Synthesis under Atmospheric Turbulencecited by 1
  38. 2023Boosting Cross-Quality Face Verification using Blind Face Restorationcited by 1

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