Optimizing Generative Adversarial Networks for Image Super Resolution via Latent Space Regularization

no code implementations • 22 Jan 2020 • Sheng Zhong, Shifu Zhou

But the results of existing methods still exhibit many unpleasant artifacts and distortions even for the cases where the desired ground truth target images are available for supervised learning such as in single image super resolution (SISR).

Image Super-Resolution