Top 217 point-cloud open source projects

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Code for PCN: Point Completion Network in 3DV'18 (Oral)

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Robotics with GPU computing

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

Visualising LIDAR data from KITTI dataset.

The public CGAL repository, see the README below

Python bindings for the Point Cloud Library (PCL)

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

The PyTorch Implementation of F-ConvNet for 3D Object Detection

Implementation of the Point Transformer layer, in Pytorch

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

orb-slam2 with semantic label

3D Graph Neural Networks for RGBD Semantic Segmentation

Papers and Datasets about Point Cloud.

L-CAS 3D Point Cloud Annotation Tool

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

A hackable lidar viewer

Research platform for 3D object detection in PyTorch.

The open source mesh processing system

Differentiable Surface Splatting

A high-performance neural network library for point cloud processing.

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

Paperlist of awesome 3D detection methods

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Python binding of 3D visualization library Pangolin

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

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

Neural Point-Based Graphics

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

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

Grid-GCN for Fast and Scalable Point Cloud Learning

code/webpage for the DeepMapping project

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

Patch-base progressive 3D Point Set Upsampling

CloudCompare main repository

Lightweight and Accurate Point Cloud Clustering

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Cluster based segmentation of Point Cloud with PCL lib in ROS

Code for Pointwise Convolutional Neural Networks, CVPR 2018

A learned sampling approach for point clouds (CVPR 2019)

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

open Multi-View Stereo reconstruction library

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

Keras implementation for Pointnet

Polylidar3D - Fast polygon extraction from 3D Data

A list of resources about deep learning solutions on 3D shape processing

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

This is the official implementation of RSNet.