StyleGAN

StyleGAN is a novel generative adversarial network (GAN) introduced by Nvidia researchers in December 2018, and made source available in February 2019.
StyleGAN depends on Nvidia's CUDA software, GPUs and Google's TensorFlow.
History.
In December 2018, Nvidia researchers distributed a preprint with accompanying software introducing StyleGAN, a GAN for producing an unlimited number of (often convincing) portraits of fake human faces. StyleGAN was able to run on Nvidia's commodity GPU processors.
In February 2019, Uber engineer Phillip Wang used the software to create "This Person Does Not Exist", which displayed a new face on each web page reload. Wang himself has expressed amazement, given that humans are evolved to specifically understand human faces, that nevertheless StyleGAN can competitively "pick apart all the relevant features (of human faces) and recompose them in a way that's coherent."
In September 2019, a website called Generated Photos published 100,000 images as a collection of stock photos. The collection was made using a private dataset shot in a controlled environment with similar light and angles.
Similarly, two faculty at the University of Washington's Information School used StyleGAN to create "Which Face is Real?", which challenged visitors to differentiate between a fake and a real face side-by-side. The faculty stated the intention was to "educate the public" about the existence of this technology so they could be wary of it, "just like eventually most people were made aware that you can Photoshop an image".
The second version of StyleGAN, called StyleGAN2, was published on 5 February 2020. It removes some of the characteristic artifacts and improves the image quality.
Related issues.
The technology has drawn comparison with deep fakes and its potential usage for sinister purposes has been debated.
In December 2019, Facebook took down a network of accounts with false identities, and mentioned that some of them had used profile pictures created with artificial intelligence.