Ultra Sharp : Study of Single Image Super Resolution using Residual
Dense Network

v1v2 (latest)

Ultra Sharp : Study of Single Image Super Resolution using Residual Dense Network

21 April 2023

ArXiv (abs)PDF HTML

Papers citing "Ultra Sharp : Study of Single Image Super Resolution using Residual Dense Network"

9 / 9 papers shown

Title
Text2Time: Transformer-based Article Time Period Prediction K. Gunasekaran B. C. Babrich Saurabh Shirodkar Hee Hwang 68 3 0 21 Apr 2023
Deep Learning for Image Super-resolution: A Survey Zhihao Wang Jian Chen Guosheng Lin SupR 71 1,439 0 16 Feb 2019
Residual Dense Network for Image Super-Resolution Yulun Zhang Yapeng Tian Yu Kong Bineng Zhong Y. Fu SupR 138 3,324 0 24 Feb 2018
MemNet: A Persistent Memory Network for Image Restoration Ying Tai Jian Yang Xiaoming Liu Chunyan Xu SupR 111 1,543 0 07 Aug 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 176 5,917 0 10 Jul 2017
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution Wei-Sheng Lai Jia-Bin Huang Narendra Ahuja Ming-Hsuan Yang SupR 124 2,445 0 12 Apr 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 775 36,861 0 25 Aug 2016
Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 110 6,195 0 14 Nov 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 332 18,647 0 06 Feb 2015