PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit Surface

arXiv:2310.08755v2 Announce Type: replace
Abstract: While recent advancements in deep-learning point cloud upsampling methods have improved the input to intelligent transportation systems, they still suffer from issues of domain dependency between synthetic and real-scanned point clouds. This paper addresses the above issues by proposing a new ray-based upsampling approach with an arbitrary rate, where a depth prediction is made for each query ray and its corresponding patch. Our novel method simulates the sphere-tracing ray marching algorithm on the neural implicit …

abstract arxiv cloud cs.cv cs.gr domain independent intelligent intelligent transportation paper ray surface synthetic systems transportation type via