MSCE: An edge preserving robust loss function for improving super-resolution algorithms

25 August 2018

Papers citing "MSCE: An edge preserving robust loss function for improving super-resolution algorithms"

4 / 4 papers shown

Title
Single Image Super-Resolution Based on Capsule Neural Networks George Correa de Araujo Hélio Pedrini SupR 29 0 0 06 Oct 2022
Deep learning-based Edge-aware pre and post-processing methods for JPEG compressed images Dipti Mishra S. Singh R. Singh 26 1 0 11 Apr 2021
Hyperrealistic Image Inpainting with Hypergraphs Gourav Wadhwa Abhinav Dhall Subrahmanyam Murala Usman Tariq GNN 23 25 0 05 Nov 2020
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 234 5,181 0 16 Sep 2016