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arXiv:1909.05677cs.CV

Raiders of the Lost Art

Anthony Bourached, George Cann

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Abstract

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 novel method of reconstructing lost artwork, by applying neural style transfer to x-radiographs of artwork with secondary interior artwork beneath a primary exterior, so as to reconstruct lost artwork. Finally we reflect on AI art exhibitions and discuss the social, cultural, ethical, and philosophical impact of these technical innovations.

arXiv comments
Submitted to NeurIPS workshop on Machine Learning for Creativity and Design
Journal reference
DOI
Subjects
cs.CVComputer Vision and Pattern Recognition cs.LGMachine Learning stat.MLMachine Learning (Statistics)

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Sep 2019 to Sep 2019.

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Discussed in comments1 thread

  1. Researchers used a neural network to reconstruct a lost Picasso painting 1 comment

    • > They have taken a manually edited version of the x-ray images of the ghostly woman beneath The Old Guitarist and passed it through a neural style transfer network. This network was trained to convert images into the style of another artwork from Picasso’s Blue Period. Perhaps…

      abrichrView on HNParent context

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