Sep 29, 2021 · In this survey, we give an overview of DL-based SISR methods and group them according to their design targets.
Jul 19, 2019 · In this paper, we give an overview of recent advances in deep learning-based models and methods that have been applied to single image super-resolution tasks.
This survey mainly provides an overview on most of published work for single image reconstruction using Convolutional Neural Network. Furthermore, common issues ...
In this survey, we give an overview of DL-based SISR methods and group them according to their design targets.
Mar 2, 2023 · This paper presents a comprehensive review of the deep learning assisted single image super-resolution domain including generative adversarial network (GAN) ...
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This survey focuses mainly on deep learning-based methods and aims to provide a comprehensive introduction to the field of SISR. The remainder of this paper is ...
Deep learning based single image super-resolution: a survey. 1. Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XW, ...
Feb 18, 2021 · This survey is an effort to provide a detailed survey of recent progress in single-image super-resolution in the perspective of deep learning
An overview of recent advances in deep learning-based models and methods that have been applied to single image super-resolution tasks is given and various ...
The deep convolutional neural network (DCNN) has recently been applied to the highly challenging and ill-posed problem of single image super-resolution ...