Review for NeurIPS paper: Swapping Autoencoder for Deep Image Manipulation

Neural Information Processing Systems 

This is not acceptable and some papers have been desk-rejected for doing the same thing. These additional results have to be moved elsewhere.* The reviewers' opinions on this paper diverge even after considering the rebuttal and discussing. The meta-review is thus unusually detailed. The paper proposes an approach to image editing by disentangling the structure and texture using an autoencoder with the latent space decomposed into two parts - corresponding to texture and structure.