Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows

Seobin Park, Dongjin Kim, Sungyong Baik, Tae Hyun Kim

Abstract: Recent deep-learning-based super-resolution (SR) methods have been successful in recovering high-resolution (HR) images from their low-resolution (LR) counterparts, albeit on the synthetic and simp...