SIDBench: A Python Framework for Reliably Assessing Synthetic Image Detection Methods

arXiv:2404.18552v1 Announce Type: new
Abstract: The generative AI technology offers an increasing variety of tools for generating entirely synthetic images that are increasingly indistinguishable from real ones. Unlike methods that alter portions of an image, the creation of completely synthetic images presents a unique challenge and several Synthetic Image Detection (SID) methods have recently appeared to tackle it. Yet, there is often a large gap between experimental results on benchmark datasets and the performance of methods in the wild. To …

arxiv cs.ai cs.cv detection detection methods framework image image detection python synthetic type