generative adversarial network Ian Goodfellow deepfakes Nvidia StyleGAN
In 2014, this principle was used in a generative adversarial network (GAN) by Ian Goodfellow et al. Here the environmental reaction is 1 or 0 depending on whether the first network's output is in a given set. This can be used to create realistic deepfakes.
Excellent image quality is achieved by Nvidia's StyleGAN (2018) based on the Progressive GAN by Tero Karras, Timo Aila, Samuli  Laine, and Jaakko Lehtinen. Here the GAN generator is grown from small to large scale in a pyramidal fashion.
