[kalid]

I found the paper very well written. It's a testament to Andrew Ng's ML class that you're able to follow a state of the art paper (terms, equations, conventions) after his lessons.

The notion of a "visual Turing test" was interesting (can humans distinguish real from simulated images). The sample sizes (and p-values, for all their issues) were fairly small (10 participants, 100 images each).

I wonder if there are volunteer participant efforts (similar to HealthKit) to help automate these types of evaluations. You could even have a Recaptcha-style service to show your simulations are realistic enough.