Etruscan Mirror
Etruscan mirrors, characterized by intricate engravings on their backs, are the subject of ongoing research focused on automating their analysis and documentation. Current efforts leverage deep learning models, particularly segmentation networks and neural radiance fields (NeRFs), to digitally reconstruct the mirror images, often incorporating techniques like photometric stereo and novel view synthesis algorithms to overcome challenges posed by damage and reflection. This research streamlines the laborious process of manually tracing the engravings, improving both the speed and objectivity of analysis, and has broader implications for the study of other historical artifacts and complex imagery.
Papers
April 24, 2024
April 1, 2024
March 9, 2024
March 2, 2024
February 22, 2024
January 7, 2024
December 21, 2023
December 16, 2023
November 22, 2023
November 20, 2023
November 15, 2023
November 9, 2023
October 16, 2023
September 9, 2023
August 15, 2023
August 7, 2023
July 26, 2023
May 22, 2023
April 29, 2023