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- Generative adversary network (GAN) generated high-realistic human faces have been used as profile images for fake social media accounts and are visually challenging to discern from real ones. In this work, we show that GAN-generated faces can be exposed via irregular pupil shapes.Learn more:Generative adversary network (GAN) generated high-realistic human faces have been used as profile images for fake social media accounts and are visually challenging to discern from real ones. In this work, we show that GAN-generated faces can be exposed via irregular pupil shapes.arxiv.org/abs/2109.00162It is shown that GAN-generated faces can be exposed via irregular pupil shapes, caused by the lack of physiological constraints in the GAN models, and an automatic method to segment the pupils from the eyes and analyze their shapes is designed to distinguish GANs from real ones.www.semanticscholar.org/paper/Eyes-Tell-All%3A …
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces
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Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces
[2109.00162v4] Eyes Tell All: Irregular Pupil Shapes Reveal GAN ...
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