7 citations · 7 across the 2 of their papers we have counts for
2 papers
eess.IV2020
TextureWGAN: Texture Preserving WGAN with MLE Regularizer for Inverse Problems
Masaki Ikuta, Jun Zhang
Many algorithms and methods have been proposed for inverse problems particularly with the recent surge of interest in machine learning and deep learning methods. Among all proposed…
eess.IV2019★ 7 cited
Multi-grained Attention Networks for Single Image Super-Resolution
Huapeng Wu, Zhengxia Zou, Jie Gui +5
Deep Convolutional Neural Networks (CNN) have drawn great attention in image super-resolution (SR). Recently, visual attention mechanism, which exploits both of the feature importa…