What’s important, it worked fast enough to drive an avatar real-time," Aliev told Motherboard. "I ran on my PC and was surprised by the result. This model can do it in real-time, by training the algorithm on similar categories of the target (like faces). With other face-swap technologies, like deepfakes, the algorithm is trained on the face you want to swap, usually requiring several images of the person's face you're trying to animate. First Order Motion, developed by researchers at the University of Trento in Italy as well as Snap, Inc., drives a photo of a person using a video of another person-such as footage of an actor-without any prior training on the target image. Programmer Ali Aliev used the open-source code from the " First Order Motion Model for Image Animation," published on the arxiv preprint server earlier this year, to build Avatarify. The code is available on Github for anyone to use. Avatarify is a program that superimposes someone else's face onto yours in real-time, during video meetings.
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