[R] Face Aging with Conditional Generative Adversarial Networks • /r/MachineLearning

The main novel tactic here is the use of a pre-built facial recognition/embedding network (FaceNet) to help determine the distance between the reference image and possible reconstruction vectors (the "Identity Preserving" approximation) before doing the age modifications and sample generation. I'm curious if there's a way to generate larger samples, though (in theory this could be combined with StackGAN or something, I guess?), since that seems like a requisite for a lot of the practical applications.