68 citations · 75 across the 3 of their papers we have counts for
3 papers
eess.IV2022
Training Patch Analysis and Mining Skills for Image Restoration Deep Neural Networks
Jae Woong Soh, Nam Ik Cho
There have been numerous image restoration methods based on deep convolutional neural networks (CNNs). However, most of the literature on this topic focused on the network architec…
eess.IV2022★ 68 cited
Variational Deep Image Restoration
Jae Woong Soh, Nam Ik Cho
This paper presents a new variational inference framework for image restoration and a convolutional neural network (CNN) structure that can solve the restoration problems described…
eess.IV2021★ 7 cited
A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution
Karam Park, Jae Woong Soh, Nam Ik Cho
Deep learning methods have shown outstanding performance in many applications, including single-image super-resolution (SISR). With residual connection architecture, deeply stacked…