GAN-generated Faces Detection: A Survey and New Perspectives

Understand

Generative Adversarial Networks (GAN) have led to the generation of very realistic face images, which have been used in fake social media accounts and other disinformation matters that can generate profound impacts.

• Therefore, the corresponding GAN-face detection techniques are under active development that can examine and expose such fake faces.
• In this work, we aim to provide a comprehensive review of recent progress in GAN-face detection.
• We focus on methods that can detect face images that are generated or synthesized from GAN models.