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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...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Cecilia Pasquini, Francesco Laiti, Davide Lobba, Giovanni Ambrosi, Giulia Boato, Francesco De Natale
Hōputu: Artigo
Reo:Inglês
I whakaputaina: MDPI AG 2023-01-01
Rangatū:Applied Sciences
Ngā marau:
Urunga tuihono:https://www.mdpi.com/2076-3417/13/2/816
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