NeurIPS 2020

PIE-NET: Parametric Inference of Point Cloud Edges

Meta Review

The reviewers felt that this paper provides an interesting and novel approach. The demonstrated approach outperforms the previous state of the art by a large margin. The main concern by reviewers is whether this paper is appropriate for a machine learning conference. All reviewers agree that the submission is a strong application paper that would be a strong submission for a computer vision, graphics, or computational geometry conference. However, the reviewers questioned whether the machine learning novelty in this paper is sufficient for a machine learning conference. At the same time, the reviewers noted that the NeurIPS CFP (Call for Papers) explicitly lists Computer Vision Applications of ML and they noted that the proposed submission has novelty as an application of ML. The reviewers also suggested that some items in the supplement be moved to the main text.