Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks

30 January 2021

Papers citing "Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks"

8 / 8 papers shown

Title
Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars Anthony Bourached George H. Cann Ryan-Rhys Griffiths D. Stork GAN 30 8 0 04 Jan 2021
Raiders of the Lost Art Anthony Bourached George H. Cann GAN 37 7 0 10 Sep 2019
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Ting-Chun Wang Ming-Yuan Liu Jun-Yan Zhu Andrew Tao Jan Kautz Bryan Catanzaro SSeg 185 3,948 0 30 Nov 2017
Universal Style Transfer via Feature Transforms Yijun Li Chen Fang Jimei Yang Zhaowen Wang Xin Lu Ming-Hsuan Yang DiffM 106 992 0 23 May 2017
Controlling Perceptual Factors in Neural Style Transfer Leon A. Gatys Alexander S. Ecker Matthias Bethge Aaron Hertzmann Eli Shechtman 45 466 0 23 Nov 2016
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 333 19,697 0 21 Nov 2016
Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 112 6,198 0 14 Nov 2015
Holistically-Nested Edge Detection Saining Xie Zhuowen Tu 147 3,496 0 24 Apr 2015