mlsanityData to 14 Oct 2026

Image-Adaptive GAN based Reconstruction

arXiv 1906.05284 ↗First posted 12 Jun 2019eess.IV cs.CV cs.LGcited by 36

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Abstract (arXiv)

In the recent years, there has been a significant improvement in the quality of samples produced by (deep) generative models such as variational auto-encoders and generative adversarial networks. However, the representation capabilities of these methods still do not capture the full distribution for complex classes of images, such as human faces. This deficiency has been clearly observed in previous works that use pre-trained generative models to solve imaging inverse problems. In this paper, we suggest to mitigate the limited representation capabilities of generators by making them image-adaptive and enforcing compliance of the restoration with the observations via back-projections. We empirically demonstrate the advantages of our proposed approach for image super-resolution and compressed sensing.

Key facts. Cited by 36 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Jun 2019.

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Citing papers per year: 2021: 9; 2022: 13; 2023: 8; 2024: 3; 2025: 2; 2026: 1.

36 papers.

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  1. 2022Generative Adversarial Networkscited by 5,627
  2. 2022Improving Diffusion Models for Inverse Problems using Manifold Constraintscited by 508
  3. 2021Pivotal Tuning for Latent-based Editing of Real Imagescited by 427
  4. 2021GAN Inversion: A Surveycited by 367
  5. 2023A Comprehensive Survey on Test-Time Adaptation under Distribution Shiftscited by 359
  6. 2021Robust Compressed Sensing MRI with Deep Generative Priorscited by 286
  7. 2021HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editingcited by 208
  8. 2023Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistencycited by 182
  9. 2023AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusioncited by 100
  10. 2021Regularising Inverse Problems with Generative Machine Learning Modelscited by 22
  11. 2022Theoretical Perspectives on Deep Learning Methods in Inverse Problemscited by 22
  12. 2022ADIR: Adaptive Diffusion for Image Reconstructioncited by 20
24 more
  1. 2021Prior Image-Constrained Reconstruction using Style-Based Generative Modelscited by 19
  2. 2023Robust Unsupervised StyleGAN Image Restorationcited by 14
  3. 2024Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)cited by 14
  4. 2021Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networkscited by 12
  5. 2023Deep Internal Learning: Deep Learning from a Single Inputcited by 9
  6. 2022Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editabilitycited by 7
  7. 2021Generator Surgery for Compressed Sensingcited by 5
  8. 2023UDPM: Upsampling Diffusion Probabilistic Modelscited by 5
  9. 2022FunkNN: Neural Interpolation for Functional Generationcited by 4
  10. 2023High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Modelscited by 4
  11. 2022Equivariant Priors for Compressed Sensing with Unknown Orientationcited by 3
  12. 2022Exploring the solution space of linear inverse problems with GAN latent geometrycited by 3
  13. 2023Deep Injective Prior for Inverse Scatteringcited by 3
  14. 2021Learning Generative Prior with Latent Space Sparsity Constraintscited by 1
  15. 2022A Field of Experts Prior for Adapting Neural Networks at Test Timecited by 1
  16. 2022Regularized Training of Intermediate Layers for Generative Models for Inverse Problemscited by 1
  17. 2022Generative models and Bayesian inversion using Laplace approximationcited by 1
  18. 2024Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overviewcited by 1
  19. 2025An Adaptive, Disentangled Representation for Multidimensional MRI Reconstructioncited by 1
  20. 2022Semantic Encoder Guided Generative Adversarial Face Ultra-Resolution Networkcited by 0
  21. 2022MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolutioncited by 0
  22. 2024Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regimecited by 0
  23. 2025VISION: Prompting Ocean Vertical Velocity Reconstruction from Incomplete Observationscited by 0
  24. 2026Anatomical Token Uncertainty for Transformer-Guided Active MRI Acquisitioncited by 0