Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution

Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni

Most current deep learning based single image super-resolution (SISR) methods focus on designing deeper / wider models to learn the non-linear mapping between low-resolution (LR) i…