mlsanityData to 14 Oct 2026

FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors

arXiv 1711.10703 ↗First posted 29 Nov 2017cs.CVcited by 170

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Cited by 37 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Face Super-Resolution (SR) is a domain-specific super-resolution problem. The specific facial prior knowledge could be leveraged for better super-resolving face images. We present a novel deep end-to-end trainable Face Super-Resolution Network (FSRNet), which makes full use of the geometry prior, i.e., facial landmark heatmaps and parsing maps, to super-resolve very low-resolution (LR) face images without well-aligned requirement. Specifically, we first construct a coarse SR network to recover a coarse high-resolution (HR) image. Then, the coarse HR image is sent to two branches: a fine SR encoder and a prior information estimation network, which extracts the image features, and estimates landmark heatmaps/parsing maps respectively. Both image features and prior information are sent to a fine SR decoder to recover the HR image. To further generate realistic faces, we propose the Face Super-Resolution Generative Adversarial Network (FSRGAN) to incorporate the adversarial loss into FSRNet. Moreover, we introduce two related tasks, face alignment and parsing, as the new evaluation metrics for face SR, which address the inconsistency of classic metrics w.r.t. visual perception. Extensive benchmark experiments show that FSRNet and FSRGAN significantly outperforms state of the arts for very LR face SR, both quantitatively and qualitatively. Code will be made available upon publication.

Key facts. Cited by 170 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Nov 2017.

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Citing papers per year: 2021: 32; 2022: 38; 2023: 29; 2024: 31; 2025: 26; 2026: 14.

170 papers.

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  1. 2021Image Super-Resolution via Iterative Refinementcited by 1,511
  2. 2021Towards Real-World Blind Face Restoration with Generative Facial Priorcited by 349
  3. 2023DiffBIR: Towards Blind Image Restoration with Generative Diffusion Priorcited by 257
  4. 2022Towards Robust Blind Face Restoration with Codebook Lookup Transformercited by 231
  5. 2023Implicit Diffusion Models for Continuous Super-Resolutioncited by 218
  6. 2023Generative Diffusion Prior for Unified Image Restoration and Enhancementcited by 199
  7. 2021GAN Prior Embedded Network for Blind Face Restoration in the Wildcited by 197
  8. 2022VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolutioncited by 176
  9. 2022Generative Modelling With Inverse Heat Dissipationcited by 167
  10. 2021PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localizationcited by 133
  11. 2022VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decodercited by 116
  12. 2022DifFace: Blind Face Restoration with Diffused Error Contractioncited by 97
38 more
  1. 2021Blind Image Super-Resolution: A Survey and Beyondcited by 93
  2. 2022RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairscited by 85
  3. 2023DR2: Diffusion-based Robust Degradation Remover for Blind Face Restorationcited by 79
  4. 2024Video Interpolation with Diffusion Modelscited by 68
  5. 2024Diffusion Models, Image Super-Resolution And Everything: A Surveycited by 64
  6. 2022Residual Local Feature Network for Efficient Super-Resolutioncited by 53
  7. 2023Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wildcited by 46
  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. 2021Text Prior Guided Scene Text Image Super-resolutioncited by 37
  11. 2022A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolutioncited by 35
  12. 2023RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairscited by 33
  13. 2024OSDFace: One-Step Diffusion Model for Face Restorationcited by 33
  14. 2021Deep Learning-based Face Super-Resolution: A Surveycited by 32
  15. 2022VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learningcited by 27
  16. 2022Variational Deep Image Restorationcited by 24
  17. 2021A Comprehensive Review of Deep Learning-based Single Image Super-resolutioncited by 23
  18. 2023Dual Associated Encoder for Face Restorationcited by 23
  19. 2023Towards Real-World Blind Face Restoration with Generative Diffusion Priorcited by 22
  20. 2024WaveFace: Authentic Face Restoration with Efficient Frequency Recoverycited by 20
  21. 2022CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolutioncited by 19
  22. 2023Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolutioncited by 19
  23. 2023DIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolutioncited by 19
  24. 2025EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolationcited by 19
  25. 2021Joint Face Image Restoration and Frontalization for Recognitioncited by 18
  26. 2023Towards Authentic Face Restoration with Iterative Diffusion Models and Beyondcited by 18
  27. 2023Survey on Deep Face Restoration: From Non-blind to Blind and Beyondcited by 18
  28. 2022Deep Face Restoration: A Surveycited by 17
  29. 2023TextIR: A Simple Framework for Text-based Editable Image Restorationcited by 17
  30. 2022GAN-based Facial Attribute Manipulationcited by 16
  31. 2022From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolutioncited by 15
  32. 2021Multi-modality Deep Restoration of Extremely Compressed Face Videoscited by 14
  33. 2023Boosting Detection in Crowd Analysis via Underutilized Output Featurescited by 14
  34. 2022Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Networkcited by 13
  35. 2024InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attentioncited by 13
  36. 2026The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Resultscited by 13
  37. 2021EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Datasetcited by 12
  38. 2022Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restorationcited by 12

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