Detecting GAN-generated Images by Orthogonal Training of Multiple CNNs

In the last few years, we have witnessed the rise of a series of deep learning methods to generate synthetic images that look extremely realistic. These techniques prove useful in the movie industry and for artistic purposes. However, they also prove dangerous if used to spread fake news or to gener...

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Hauptverfasser: Mandelli, Sara, Bonettini, Nicolò, Bestagini, Paolo, Tubaro, Stefano
Format: Artikel
Sprache:eng
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