Work in progress: Portraits of Imaginary people

@machinelearnbot 

For a while now I've been experimenting with ways to use generative neural nets to make portraits. Early experiments were based on deepdream-like approaches using backprop to the image but lately I've focused on GANs. As always resolution and fine detail is really difficult to achieve. For starters the receptive field of thse networks is usually less than 256x256 pixels. One way around this is tiling combined with stacking GANs, which many people have experimented with, for example this paper uses a two-stage GAN to get high resolution: (https://arxiv.org/abs/1612.03242). I tried a similar approach and I've been finally been having some more success upres-ing GAN-generated faces to 768x768 pixels in two stages and in some cases as far as 4k x 4k, using three stages.