A Hybrid Generative and Discriminative PointNet on Unordered Point Sets

arXiv:2404.12925v1 Announce Type: new
Abstract: As point cloud provides a natural and flexible representation usable in myriad applications (e.g., robotics and self-driving cars), the ability to synthesize point clouds for analysis becomes crucial. Recently, Xie et al. propose a generative model for unordered point sets in the form of an energy-based model (EBM). Despite the model achieving an impressive performance for point cloud generation, one separate model needs to be trained for each category to capture the complex point set …

abstract analysis applications arxiv cars cloud cs.cv driving form generative hybrid natural representation robotics self-driving type