Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution

arXiv:2402.18929v1 Announce Type: new
Abstract: Deep learning has led to a dramatic leap on Single Image Super-Resolution (SISR) performances in recent years. %Despite the substantial advancement% While most existing work assumes a simple and fixed degradation model (e.g., bicubic downsampling), the research of Blind SR seeks to improve model generalization ability with unknown degradation. Recently, Kong et al pioneer the investigation of a more suitable training strategy for Blind SR using Dropout. Although such method indeed brings substantial generalization improvements …

abstract advancement arxiv beyond blind cs.ai cs.cv deep learning downsampling dropout image performances research simple solution super resolution type work