Author of the post here: I think their paper would have been much better if they included the piece of code which I wrote in python to explain that the transformation they are learning is obviously trivial and the fact that it works is not in question. This would leave them a lot more space to focus on something interesting, perhaps explore the GAN's a little further, cause what they did is somewhat rudimentary. But that omission (and lack of context for previous use of such features in the literature) left a vulnerability which I have the full right to exploit in a blog post.