SYSTEMS AND METHOD OF TRAINING NETWORKS FOR REAL-WORLD SUPER RESOLUTION WITH UNKNOWN DEGRADATIONS

摘要

A method and apparatus are provided. The method includes generating a dataset for real-world super resolution (SR), training a first generative adversarial network (GAN), training a second GAN, and fusing an output of the first GAN and an output of the second GAN.