Detecting and Articulating Artistic Style Copying in the Era of Text-to-Image Generative Models

Artistic styles can be effectively characterized by a set of frequently co-occurring elements, and the problem of style copying can be reduced to a classification task over image sets. ArtSavant, a practical tool consisting of a reference dataset and two complementary methods, can detect and articulate instances of style copying by text-to-image generative models.