Identifying Synthetic Faces through GAN Inversion and Biometric Traits Analysis

In the field of image forensics, notable attention has been recently paid toward the detection of synthetic contents created through Generative Adversarial Networks (GANs), especially face images. This work explores a classification methodology inspired by the inner architecture of typical GANs, whe...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Cecilia Pasquini, Francesco Laiti, Davide Lobba, Giovanni Ambrosi, Giulia Boato, Francesco De Natale
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Subjects:	Generative Adversarial Networks image forensics GAN inversion face biometrics StyleGAN2
Online Access:	https://www.mdpi.com/2076-3417/13/2/816