1.2k citations · 1.3k across the 4 of their papers we have counts for
4 papers
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution
Wenming Yang, Xuechen Zhang, Yapeng Tian +3
In this paper, we develop a concise but efficient network architecture called linear compressing based skip-connecting network (LCSCNet) for image super-resolution. Compared with t…
CFSNet: Toward a Controllable Feature Space for Image Restoration
Wei Wang, Ruiming Guo, Yapeng Tian +1
Deep learning methods have witnessed the great progress in image restoration with specific metrics (e.g., PSNR, SSIM). However, the perceptual quality of the restored image is rela…
Lightweight Feature Fusion Network for Single Image Super-Resolution
Wenming Yang, Wei Wang, Xuechen Zhang +2
Single image super-resolution(SISR) has witnessed great progress as convolutional neural network(CNN) gets deeper and wider. However, enormous parameters hinder its application to…
Deep Learning for Single Image Super-Resolution: A Brief Review
Wenming Yang, Xuechen Zhang, Yapeng Tian +2
Single image super-resolution (SISR) is a notoriously challenging ill-posed problem, which aims to obtain a high-resolution (HR) output from one of its low-resolution (LR) versions…