Reviews: Generating Diverse High-Fidelity Images with VQ-VAE-2

This paper presents great visual images and quantitative scores for an autoencoder-based generative model. All reviewers agree on this aspect, and this is primarily the reason why acceptance is warranted. Certainly an AE pipeline with this capability is a worthwhile contribution to the community. However, the proposed method is mostly some engineered enhancements to the basic VQ-VAE model that has already been published. Moreover, full architectural details and hyperparamter settings were not provided in the original submission but were promised for the final version.