Automated Generation of Realistic Image Splicing Datasets Using Advanced Image Composition Techniques

The core message of this paper is to propose an automated framework for generating realistic image splicing datasets using state-of-the-art image composition techniques, in order to bridge the gap between the quality and quantity of existing image forgery datasets and the real-world manipulations.