… hardly find a super-resolution work not using it as one of its benchmarks. In this paper we
attempt to survey the deep learning literature in the context multimedia super-resolution. The …

… to survey the deep learning literature in the context multimedia super-resolution. The main
… the contemporary literature on deep learning based super-resolution, which is followed by a …

… Abstract—We propose a deep learning method for single image super-resolution (SR). Our
method directly learns an end-to-end mapping between the low/high-resolution images. The …

… and video super-resolution techniques based on deep learning. … to achieve arbitrary-scale
super-resolution via a single model … -scale methods based on deep learning. In this work, we …

… In this paper, build upon the success of deep CNN for color image super-resolution, we
propose a deep neural network based depth image super-resolution to effectively learn the …

… Super-Resolution (SR) from a single image has recently received a huge boost in performance
using Deep-Learning based … non-Deep SR methods (supervised [22] or unsupervised [5…

… In this study, we showed the potential of deep-learning-based super-resolution of x-ray CT
images. A single image super-resolution technology based on CNN was applied to a thick CT …

… super-resolution using deep convolutional networks. 2015 IEEE transactions on pattern
analysis and machine … , M., & Lee, JS Deep learning-based image super-resolution considering …

… 360 videos using deep learning-based video super-resolution (… Therefore, in this work, we
explore the super-resolution of … model performance against the super-resolution task. The 360 …

… Abstract—Image Super-Resolution (SR) is an important class … of image super-resolution
using deep learning techniques. This … advances of image super-resolution using deep learning …