RANDOM GUY GENERATOR
The StyleGAN code is publicly available, an engineer at Uber was able to take it and create a random face generator that rocked the internet. The company needed this to improve the performance of its video cards by automatically recognizing faces and applying other rendering algorithms to them. Training ends when the first neural network begins to constantly deceive the second.Īn interesting point is that the creation of photographs of non-existent people was a by- product: the main goal was to train the AI to recognize fake faces and faces in general. GAN consists of 2 competing neural networks, one generates something, and the second tries to find whether results are real or generated by the first. The AI face generator is powered by StyleGAN, a neural network from Nvidia developed in 2018. The way the generator works will be explained further. We are talking about the website ("this person does not exist dot com") and are going to tell of the history and areas of application. If AI can create faces for itself and can text like real people, then what is going to happen next? Generator of fake faces of non-existent humans Fake portraits look very realistic and it's frightening.
Not everyone was able to guess that AI could generate a realistic face of a non-existent person in a couple of seconds. Perhaps that is why the generator of fake photos became the main topic of discussion for several weeks in the media devoted to technology at the end of 2020. People tend not to think about the effect that neural networks have on our lives, because usually, we see the result of its work and not the "face" of a neural network.
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