The neural network learned to create a human face

Neural networks have learned to create a human face. The corresponding project has launched one of the developers of Uber, which employs a combination of two neural networks to create site-generator realistic. And the service is able to create the image of a man and an animal.

The project is based on the algorithm of generative neural networks StyleGAN developed by Nvidia. One of the neural networks responsible for the creation of the image, and the second analyzes the image for realism. When generating a faces the neural network uses the features of several people, and then adapts them to the desired age, facial expressions, hair length, and other parameters.

To randomly generate a face, it is enough to visit the site — each time you refresh the page, the neural network will show a different image. We have tested and in some cases is difficult to distinguish from the real thing. The generator first determines the attributes of a human face (the smile to the hair and even freckles), and then connects them together — but so that the image looked like this.

Translated by «Yandex.Translator»