PointNet provides a unified architecture for 3D shape classification, part segmentation, and scene semantic parsing directly from point cloud data. The network respects permutation invariance of points through symmetric functions and learns global and local features. This repository contains the original TensorFlow implementation with code for training on ModelNet classification and ShapeNet Part segmentation datasets.