A way to spot computer-generated faces

A small team of researchers from The State University of New York at Albany, the State University of New York at Buffalo and Keya Medical has found a common flaw in computer-generated faces by which they can be identified. The group has written a paper describing their findings and have uploaded them to the arXiv preprint server.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3A0QtPd
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