Underwater Image Super-Resolution using Generative Adversarial
Network-based Model

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Underwater Image Super-Resolution using Generative Adversarial Network-based Model

7 November 2022

Alireza Aghelan

Modjtaba Rouhani

ArXiv (abs)PDF HTML

Papers citing "Underwater Image Super-Resolution using Generative Adversarial Network-based Model"

8 / 8 papers shown

Title
A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net Discriminators Zihao Wei Yidong Huang Yuang Chen Chenhao Zheng Jinnan Gao GAN 48 20 0 19 Dec 2021
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Xintao Wang Liangbin Xie Chao Dong Ying Shan 129 1,173 0 22 Jul 2021
A U-Net Based Discriminator for Generative Adversarial Networks Edgar Schönfeld Bernt Schiele Anna Khoreva GAN 81 296 0 28 Feb 2020
Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception M. Islam Peigen Luo Junaed Sattar 58 194 0 04 Feb 2020
Underwater Image Super-Resolution using Deep Residual Multipliers M. Islam Sadman Sakib Enan Peigen Luo Junaed Sattar 58 66 0 20 Sep 2019
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 162 4,444 0 16 Feb 2018
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 338 5,238 0 16 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 244 10,712 0 15 Sep 2016

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