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cs.CV2021
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…
cs.CV2021
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.…
cs.CV2019
Raiders of the Lost Art
Anthony Bourached, George Cann
Neural style transfer, first proposed by Gatys et al. (2015), can be used to create novel artistic work through rendering a content image in the form of a style image. We present a…