Deep fakes became extremely popular in the last years, also thanks to their increasing realism. Therefore, there is the need to measures human's ability to distinguish between real and synthetic face images when confronted with cutting-edge creation technologies. We describe the design and results of a perceptual experiment we have conducted, where a wide and diverse group of volunteers has been exposed to synthetic face images produced by state-of-the-art Generative Adversarial Networks (namely, PG-GAN, StyleGAN, StyleGAN2). The experiment outcomes reveal how strongly we should call into question our human ability to discriminate real faces from synthetic ones generated through modern AI.
翻译：在过去几年里,深层假冒也由于其日益现实主义而变得极为受欢迎。 因此,在面对尖端的创造技术时,有必要衡量人类区分真实面像和合成面像的能力。 我们描述了我们所进行感知性实验的设计和结果,在这个实验中,广泛而多样的志愿者群体接触了由最先进的基因对抗网络(即PG-GAN、StyleGAN、StyleGAN2)制作的合成面像(即PG-GAN、StyleGAN、StyleGAN2)。 实验结果显示,我们应该如何强烈地质疑人类区分真实面像和通过现代人工智能生成的合成面像的能力。
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