NeurIPS 2020

ContraGAN: Contrastive Learning for Conditional Image Generation

Meta Review

Reviewers were split on this paper with three recommending accept and one recommending reject. The main concerns were missing experiments on ImageNet and lack of clarify on why the method should work, particularly with regard to how it stabilizes training. After the rebuttal, the reviewers and AC were more confident in the experimental results and recommend acceptance, but the authors are urged to 1) complete the full experiments on ImageNet, 2) analyze stability over multiple runs and provide some discussion of why the proposed method should help stability. Also please see the other detailed recommendations in the reviews.