Document Type

Article

Publication Title

Arts & Communication

Abstract

The advancement of digital technologies in art history has opened avenues for reconstructing lost or damaged cultural heritage, a need highlighted by the deteriorated state of many artworks from the 1785 Salon. Grounded in the concept of the “Period Eye” by art historian Michael Baxandall, which emphasizes understanding artworks within their original historical and cultural contexts, this study proposes a subfield focused on Reconstituting Period Materialities for the Period Eye. This methodology bridges comprehensive historical research with generative visual artificial intelligence (AI) technologies, facilitating the creation and immersive virtual reality viewing of artworks. Beyond mere visual replication, the approach aims to recreate the material and textural realities of the period, thereby enabling contemporary audiences to experience these works as they were originally perceived. The process includes replicating building materials using Quixel Megascans, employing AI for generating images of lost artworks, and utilizing normal maps for simulating painting textures, all contributing to an authentic reconstruction of the Salon’s ambiance and materiality. This approach, met with some skepticism from traditional historians and archeologists, asserts that such digital reconstitution, backed by rigorous empirical research and detailed period-specific datasets, yields reconstructions of greater historical accuracy and contextual richness. This mirrors strides in sound archeology, endorsing a similar empirical approach in visual material recreation. The significance of this study is underscored by its potential to enrich our comprehension of historical artworks through a “Period Eye,” blending historical insights with modern technological innovation for a deeper understanding and appreciation of cultural heritage.

DOI

10.36922/ac.2719

Publication Date

5-2024

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Download

Share

COinS