Learning of Art Style Using AI and Its Evaluation Based on Psychological Experiments

Abstract

GANs (Generative adversarial networks) is a new AI technology that has the capability of achieving transformation between two image sets. Using GANs we have carried out a comparison between several art sets with different art styles. We have prepared four image sets; a flower image set with Impressionism art style, one with the Western abstract art style, one with Chinese figurative art style, and one with the art style of Naoko Tosa, one of the authors. Using these four sets we have carried out a psychological experiment to evaluate the difference between these four sets. We have found that abstract drawings and figurative drawings are judged to be different, figurative drawings in West and East were judged to be similar, and Naoko Tosa's artworks are similar to Western abstract artworks.

Korean Copyright Issues in Text Data Mining for Generative AI

“…Here, the term 'style' refers to a manner of creation that can be perceived as similar to what that particular artist would have produced. 67 If AI-generated out-puts are considered to be copyright infringement, the question arises as to whether TDM for generative AI might not also be considered fair use.…”