GAN Fingerprints in Face Image Synthesis
João C. Neves, Rubén Tolosana, Rubén Vera-Rodríguez, Vasco Lopes, Hugo Proença, Julián Fiérrez · Advances in computer vision and pattern recognition · 2022
Abstract The availability of large-scale facial databases, together with the remarkable progresses of deep learning technologies, in particular Generative Adversarial Networks (GANs), have led to the generation of extremely realistic fake facial content, raising obvious concerns about the potential for misuse. Such concerns have fostered the research on manipulation detection methods that, contrary to humans, have already achieved astonishing results in various scenarios. This chapter is focused on the analysis of GAN fingerprints in face image synthesis.