Synthetic images aid the recognition of human-made art forgeries

arXiv:2312.14998v3 Announce Type: replace
Abstract: Previous research has shown that Artificial Intelligence is capable of distinguishing between authentic paintings by a given artist and human-made forgeries with remarkable accuracy, provided sufficient training. However, with the limited amount of existing known forgeries, augmentation methods for forgery detection are highly desirable. In this work, we examine the potential of incorporating synthetic artworks into training datasets to enhance the performance of forgery detection. Our investigation focuses on paintings by Vincent van Gogh, for …

abstract accuracy art artificial artificial intelligence artist arxiv augmentation authentic cs.ai cs.cv detection forgery human images intelligence recognition research synthetic training type