Learning Generalizable Latent Representations for Novel Degradations in Super-Resolution
Learning Generalizable Latent Representations for Novel Degradations in Super-Resolution
Typical methods for blind image super-resolution (SR) focus on dealing with unknown degradations by directly estimating them or learning the degradation representations in a latent space. A potential limitation of these methods is that they assume the unknown degradations can be simulated by the integration of various handcrafted degradations (e.g., …