Reviews: Learning What and Where to Draw

This is a very interesting paper with really impressive results! One thing I would have liked to see more is a "deconstruction" of the different elements in the proposed approach, to see which ingredients matter more. Of course, part of the difficulty in such an exercise is the current lack of a quantitative evaluation procedure for GANs (or other likelihood-free generative models). Something that concerns me is the complexity of the architecture and training procedure used in these experiments. As a condition for accepting this paper, I would like the authors to confirm that they will post their code for running these experiments.