PointnetPointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
So NetSO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018
Ndt ompMulti-threaded and SSE friendly NDT algorithm
OdmA command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Kinectfusionlib Implementation of the KinectFusion approach in modern C++14 and CUDA
SplatnetSPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)
PycpdPure Numpy Implementation of the Coherent Point Drift Algorithm
3PU pytorchpytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<
Silhouette-Guided-3DPyTorch Code of our WACV2020 paper: Silhouette Guided Point Cloud Reconstruction beyond Occlusion
pc2vidconverts set of point clouds to a video using three.js
geometry-dexPyTorch Code for "Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning"
pcljavaA port of the Point Cloud Library (PCL) using Java Native Interface (JNI).
ViPA New 3D Detector. Code Will be made public.
pointnet2 semanticA pointnet++ fork, with focus on semantic segmentation of differents datasets
Iterative-Closest-PointImplementation of the iterative closest point algorithm. A point cloud is transformed such that it best matches a reference point cloud.
pointnet2-pytorchA clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.
BtcDetBehind the Curtain: Learning Occluded Shapes for 3D Object Detection
lowshot-shapebiasLearning low-shot object classification with explicit shape bias learned from point clouds
lvr2Las Vegas Reconstruction 2.0
awesome-lidar😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
self-sampleSingle shape Deep Point Cloud Consolidation [TOG 2021]
graspnet-baselineBaseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)
urban road filterReal-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
SimpleViewOfficial Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
volumentationsAugmentation package for 3d data based on albumentaitons
CurveNetOfficial implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021
lepccPoint Cloud Compression used in i3s Scene Layer Format
cloud to mapAlgorithm that converts point cloud data into an occupancy grid
sp segmenterSuperpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.
cpnetLearning Video Representations from Correspondence Proposals (CVPR 2019 Oral)
M3DETRCode base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
AIODriveOfficial Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"
RealSenseExtension of RealSense Unity Wrapper [Unofficial]
torch-points3dPytorch framework for doing deep learning on point clouds.
costmap depth cameraThis is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.
OverlapPredator[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
isosurfaceRust algorithms for isosurface extraction
CMRNetCode for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP
MinkLoc3DMinkLoc3D: Point Cloud Based Large-Scale Place Recognition
Point2SequencePoint2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Open-Infra-PlatformThis is the official repository of the open-source Open Infra Platform software (as of April 2020).
pcc geo cnnLearning Convolutional Transforms for Point Cloud Geometry Compression
frustum-convnetThe PyTorch Implementation of F-ConvNet for 3D Object Detection
LPD-netLPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis, ICCV 2019, Seoul, Korea
point based clothingOfficial PyTorch code for the paper: "Point-Based Modeling of Human Clothing" (ICCV 2021)
pyRANSAC-3DA python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm
softpoolSoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral
fastDesp-corrPropFast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration
FLAT[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory