32 citations · 52 across the 7 of their papers we have counts for
4 papers · 1 filter
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution
Ruofan Zhang, Jinjin Gu, Haoyu Chen +3
Super-resolution (SR) techniques designed for real-world applications commonly encounter two primary challenges: generalization performance and restoration accuracy. We demonstrate…
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining
Jinjin Gu, Xianzheng Ma, Xiangtao Kong +2
Deep deraining networks consistently encounter substantial generalization issues when deployed in real-world applications, although they are successful in laboratory benchmarks. A…
TextIR: A Simple Framework for Text-based Editable Image Restoration
Yunpeng Bai, Cairong Wang, Shuzhao Xie +3
Most existing image restoration methods use neural networks to learn strong image-level priors from huge data to estimate the lost information. However, these works still struggle…
ITstyler: Image-optimized Text-based Style Transfer
Yunpeng Bai, Jiayue Liu, Chao Dong +1
Text-based style transfer is a newly-emerging research topic that uses text information instead of style image to guide the transfer process, significantly extending the applicatio…