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Recovery of underdrawings and ghost-paintings via style transfer by deep
  convolutional neural networks: A digital tool for art scholars

Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars

4 January 2021
Anthony Bourached
George H. Cann
Ryan-Rhys Griffiths
D. Stork
    GAN
ArXiv (abs)PDFHTML

Papers citing "Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars"

6 / 6 papers shown
Title
Raiders of the Lost Art
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
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
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
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
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
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,529
0
04 Sep 2014
1