2 citations · 3 across the 5 of their papers we have counts for
3 papers · 2 filters
Computational identification of significant actors in paintings through symbols and attributes
David G. Stork, Anthony Bourached, George H. Cann +1
The automatic analysis of fine art paintings presents a number of novel technical challenges to artificial intelligence, computer vision, machine learning, and knowledge representa…
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks
George Cann, Anthony Bourached, Ryan-Rhys Griffiths +1
We apply generative adversarial convolutional neural networks to the problem of style transfer to underdrawings and ghost-images in x-rays of fine art paintings with a special focu…
Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars
Anthony Bourached, George Cann, Ryan-Rhys Griffiths +1
We describe the application of convolutional neural network style transfer to the problem of improved visualization of underdrawings and ghost-paintings in fine art oil paintings.…