s3dis

Pytorch framework for doing deep learning on point clouds.

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

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

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

Grid-GCN for Fast and Scalable Point Cloud Learning

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.

Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis

[CVPR 2021] CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation

Forked from HuguesTHOMAS KPConv_Pytorch for a course project