NeurIPS 2020

Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning

Meta Review

This is a borderline case since it applies the principles of "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" to 3D shape retrieval using conditional GANs in a way that is mostly straightforward. However, I would vote for the acceptance of this paper, given that the majority of the reviewers support the paper since "it was not done before", " the presented approach would serve as a strong baseline against most future approaches addressing the IBSR task", and "thoroughness of the experiments".