CVLGMLSep 10, 2019

Raiders of the Lost Art

arXiv:1909.05677v17 citations
Originality Synthesis-oriented
AI Analysis

This addresses a specific challenge in art restoration and cultural heritage, though it is incremental as it builds on existing neural style transfer techniques.

The paper tackles the problem of reconstructing lost artwork by applying neural style transfer to x-radiographs of paintings with hidden layers, enabling the recreation of underlying artworks.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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