Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy

21 January 2019

Papers citing "Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy"

7 / 7 papers shown

Title
To learn image super-resolution, use a GAN to learn how to do image degradation first Adrian Bulat J. Yang Georgios Tzimiropoulos SupR 56 352 0 30 Jul 2018
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction D. Ravì A. Szczotka D. I. Shakir Stephen P. Pereira Tom Vercauteren 49 38 0 23 Mar 2018
"Zero-Shot" Super-Resolution using Deep Internal Learning Assaf Shocher Nadav Cohen Michal Irani SupR 84 853 0 17 Dec 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 79 2,106 0 17 Jan 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 110 529 0 17 Jan 2017
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 240 10,674 0 15 Sep 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 218 10,230 0 27 Mar 2016