Abstract: The recent progress in semantic point cloud segmentation is attributed to deep networks, which require a large amount of point cloud data for training. However, how to collect substantial ...

Abstract: Point cloud upsampling is a key technology for improving the density and quality of sparse point clouds, with widespread applications in 3D reconstruction, autonomous driving, and ...

Official implementation of 'GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model'. The paper has been accepted by ICML 2025. Pre-trained 3D vision models have gained significant attention ...

For folks who already have ROS2 working and just want to see data flow end-to-end see TL;DR. No DB, no schema migrations, no exotic drivers. You get fast setup and ...