Generative Adversarial Networks for Image Super-Resolution: A Survey. (arXiv:2204.13620v1 [eess.IV])

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 with small samples. However,
there are little literatures summarizing different GANs in SISR. In this paper,
we conduct a comparative study of GANs from different perspectives. We first
take a look at developments of GANs. Second, we present popular architectures
for GANs in big and small samples for image applications. Then, we analyze …

arxiv generative adversarial networks image networks survey