[krut-patel]

> I can envision tools that allow a sign in a store front to change from "Coke" to "Pepsi" automatically.

This was literally the project I worked on this summer, as an application of GANs for "image translation". We basically trained some of the latest GAN models on our dataset of Pepsi and Coke bottles. Thankfully, all the research papers are accompanied by complete tensorflow/pytorch implementations so we only had to do minor modifications to train/test them on our dataset. The results were mixed, it worked pretty well for bottles on white backgrounds, and one network properly learnt the importance of orientation of the logo (horizontally flipped images generated corresponding flipped target logos). The field is pretty nascent, and from the papers I've read, NVIDIA Research seems to be making good progress on this. I believe in two or three years, we can definitely see this tech in production.