122 citations · 392 across the 41 of their papers we have counts for
5 papers · 1 filter
Reflash Dropout in Image Super-Resolution
Xiangtao Kong, Xina Liu, Jinjin Gu +2
Dropout is designed to relieve the overfitting problem in high-level vision tasks but is rarely applied in low-level vision tasks, like image super-resolution (SR). As a classic re…
Discovering Distinctive "Semantics" in Super-Resolution Networks
Yihao Liu, Anran Liu, Jinjin Gu +4
Image super-resolution (SR) is a representative low-level vision problem. Although deep SR networks have achieved extraordinary success, we are still unaware of their working mecha…
Blind Image Super-Resolution: A Survey and Beyond
Anran Liu, Yihao Liu, Jinjin Gu +2
Blind image super-resolution (SR), aiming to super-resolve low-resolution images with unknown degradation, has attracted increasing attention due to its significance in promoting r…
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
Jinjin Gu, Haoming Cai, Chao Dong +47
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (…
Attention in Attention Network for Image Super-Resolution
Haoyu Chen, Jinjin Gu, Zhi Zhang
Convolutional neural networks have allowed remarkable advances in single image super-resolution (SISR) over the last decade. Among recent advances in SISR, attention mechanisms are…