3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Experiments on unsupervised point cloud reconstruction.

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

A Pytorch implementation of "Matrix Capsules with EM routing"

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

PyTorch implementation of Stacked Capsule Auto-Encoders

Google Research

Statistical package in Python based on Pandas

Statistical data visualization in Python

Python bindings to the pointcloud library (pcl)

Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds

Build a deep learning workstation from scratch (HW & SW).

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Web labeling tool for bitmap images and point clouds

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Shape Projective Fully Convolutional Network

A PyTorch Library for Accelerating 3D Deep Learning Research

Implementation of the Chamfer Distance as a module for pyTorch

Pytorch package to compute Chamfer distance between point sets (pointclouds).

Pytorch implementation of PCPNet

3D Point Capsule Networks

Pytorch implementation of set transformer

Partial implemention of KCNet

pytorch version of PointConv

Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)