Grant-in-Aid for Transformative Research Areas (A) Analysis and synthesis of deep SHITSUKAN information in the real world


A01-3 Shitsukan Analysis in Art


Imari Sato National Institute of Informatics

With the rapid development of image generation using machine learning, AI’s reliability, i.e., the discrimination between real and fake images, has been attracting attention. We prepare high-quality imitation samples by fusing the latest digital technology with traditional handwork and investigate what optical features are essential to pursue reality. We aim to create an integrated texture inheritance technology that links measurement to reproduction.

Co-Investigator

Shinsaku Hiura University of Hyogo
Yoichi Sato The University of Tokyo
TAIRA Yuichiro Tokyo University of the Arts