mlsanityData to 7 Oct 2026

Generative Adversarial Networks for Image Super-Resolution: A Survey

arXiv 2204.13620 ↗First posted 28 Apr 2022eess.IV cs.CVcited by 11

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Abstract (arXiv)

Single image super-resolution (SISR) has played an important role in the field of image processing. Recent generative adversarial networks (GANs) can achieve excellent results on low-resolution images. However, there are little literatures summarizing different GANs in SISR. In this paper, we conduct a comparative study of GANs from different perspectives. We begin by surveying the development of GANs and popular GAN variants for image-related applications, and then analyze motivations, implementations and differences of GANs based optimization methods and discriminative learning for image super-resolution in terms of supervised, semi-supervised and unsupervised manners, where these GANs are analyzed via integrating different network architectures, prior knowledge, loss functions and multiple tasks. Secondly, we compare the performances of these popular GANs on public datasets via quantitative and qualitative analysis in SISR. Finally, we highlight challenges of GANs and potential research points for SISR.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 100 of its 218 references that are in the map. First posted on arXiv 28 Apr 2022.

Builds on

100 of 218 references.

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Citing papers per year: 2023: 6; 2024: 2; 2025: 3.

11 papers.

  1. 2023Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Modelscited by 33
  2. 2023CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolutioncited by 21
  3. 2023ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolutioncited by 18
  4. 2025MRI Super-Resolution with Deep Learning: A Comprehensive Surveycited by 7
  5. 2024Perceptive self-supervised learning network for noisy image watermark removalcited by 3
  6. 2023DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolutioncited by 1
  7. 2023Self-supervised Learning for Enhancing Geometrical Modeling in 3D-Aware Generative Adversarial Networkcited by 1
  8. 2024Adaptive Convolutional Neural Network for Image Super-resolutioncited by 1
  9. 2023Object Detection for Caries or Pit and Fissure Sealing Requirement in Children's First Permanent Molarscited by 0
  10. 2025Crafting Query-Aware Selective Attention for Single Image Super-Resolutioncited by 0
  11. 2025INSIGHT: An Interpretable Neural Vision-Language Framework for Reasoning of Generative Artifactscited by 0