The new Deep Fakes are in and they're spookily good
SIGGRAPH is coming, when all the amazeballs graphics research drops, and the previews are terrifying and astonishing by turns (sometimes both!). A team led by Stanford's Michael Zollhöfer has posted a preview of their research on "Deep Video" -- using deep learning algorithms to edit existing videos so that the words and gestures of one person can be mapped onto another person. We've seen this before (remember last year's doctored Obama clips?), but Zollhöfer's team has done some truly next-level shit here, with a suite of spookily good effects for faking videos that target the deficiencies in earlier methods that might have helped sleuths, journalists and the public tell real from fake.
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