Deep Image Composition Meets Image Forgery

arXiv:2404.02897v1 Announce Type: new
Abstract: Image forgery is a topic that has been studied for many years. Before the breakthrough of deep learning, forged images were detected using handcrafted features that did not require training. These traditional methods failed to perform satisfactorily even on datasets much worse in quality than real-life image manipulations. Advances in deep learning have impacted image forgery detection as much as they have impacted other areas of computer vision and have improved the state of the …

arxiv cs.cv forgery image type