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.
Neural Information Processing Systems
May-30-2025, 16:52:11 GMT
- Technology:
- Information Technology > Artificial Intelligence
- Robots > Autonomous Vehicles (0.30)
- Vision (0.35)
- Information Technology > Artificial Intelligence