25 citations · 56 across the 15 of their papers we have counts for
4 papers · 1 filter
Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network
Yeong Il Jang, Keuntek Lee, Gu Yong Park +2
There have been many image denoisers using deep neural networks, which outperform conventional model-based methods by large margins. Recently, self-supervised methods have attracte…
Variational Deep Image Denoising
Jae Woong Soh, Nam Ik Cho
Convolutional neural networks (CNNs) have shown outstanding performance on image denoising with the help of large-scale datasets. Earlier methods naively trained a single CNN with…
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination
Jae Woong Soh, Gu Yong Park, Junho Jo +1
Recently, many convolutional neural networks for single image super-resolution (SISR) have been proposed, which focus on reconstructing the high-resolution images in terms of objec…
Joint High Dynamic Range Imaging and Super-Resolution from a Single Image
Jae Woong Soh, Jae Sung Park, Nam Ik Cho
This paper presents a new framework for jointly enhancing the resolution and the dynamic range of an image, i.e., simultaneous super-resolution (SR) and high dynamic range imaging…