NVIDIA has developed a new machine learning methodology for generating unique and realistic looking faces using GAN i-e Generative Adversarial Network.
The GAN is not a new technology, but where NVIDIA differentiates is through the progressive training method it developed.
The key idea is to grow both the generator and discriminator progressively: starting from a low resolution, they add new layers that model increasingly fine details as training progresses.
This both speeds the training up and greatly stabilizes it, allowing them to produce images of unprecedented quality. NVIDIA took a database of photographs of famous people and used that to train its system.
By working together, the neural networks were able to produce fake images that are nearly indistinguishable from real human photographs.
News Source: http://research.nvidia.com/publication/2017-10_Progressive-Growing-of
