CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations

Neural Information Processing Systems 

We thank the reviewers for their comments. However, Section 2.4 of the supplement demonstrates that a single model trained on all three shape categories still gives How does CaSPR generalize to unseen categories? Yet, this is a formidable open problem in computer vision and ML beyond the scope of our work. CaSPR, we focus on many other problems of importance by leveraging a category-level prior on object shape. Prior spatiotemporal (Occupancy Flow) and point cloud reconstruction (PointFlow) methods lack this step.