🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

Code release for CVPR 2021 paper "3D Spatial Recognition without Spatially Labeled 3D"

Pytorch framework for doing deep learning on point clouds.

A list of papers and datasets about point cloud analysis (processing)

High Performance Computing Assignments, Winter term 2019, Chalmers University

(paper code) Triangle-Net: Towards Robustness in Point Cloud Learning

Fast and robust algorithm to extract edges in unorganized point clouds

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

Convert any Triangle Mesh to Watertight Manifold

ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups

Code for PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation

GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud

TensorFlow Basic Tutorial Labs