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2020 – today
- 2021
[c3]Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths
, David G. Stork:
Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars. Computer Vision and Image Analysis of Art 2021: 1-10- [c2]George H. Cann, Anthony Bourached, Ryan-Rhys Griffiths, David G. Stork:
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks. Computer Vision and Image Analysis of Art 2021: 1-8 - [c1]David G. Stork, Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths:
Computational identification of significant actors in paintings through symbols and attributes. Computer Vision and Image Analysis of Art 2021: 1-8 - [i4]Anthony Bourached, George Cann, Ryan-Rhys Griffiths, David G. Stork:
Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars. CoRR abs/2101.10807 (2021) - [i3]George Cann, Anthony Bourached, Ryan-Rhys Griffiths, David G. Stork:
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks. CoRR abs/2102.00209 (2021) - [i2]David G. Stork, Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths:
Computational identification of significant actors in paintings through symbols and attributes. CoRR abs/2102.02732 (2021)
2010 – 2019
- 2019
- [i1]Anthony Bourached, George Cann:
Raiders of the Lost Art. CoRR abs/1909.05677 (2019)
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