pointcloudset
pointcloudset: Efficient Analysis of Large Datasets of Point Clouds Recorded Over Time - Published in JOSS (2021)
pyransac3d
A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm
urban_road_filter
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
polygnn
PolyGNN: Polyhedron-based graph neural network for 3D building reconstruction from point clouds [ISPRS 2024]
mapmos
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)
globalmatch
GlobalMatch: Registration of forest terrestrial point clouds by global matching of relative stem positions [ISPRS 2023]
pointnet-formulastudent-i2r
Code to support a study of the use of PointNet as classifier of cones in the perception system of a Formula Student car.
bird-cloud-gnn
This package generates graph representations from point cloud data and fits graph neural networks for classification problem
icpts
TypeScript implementation of iterative closest point (ICP) for point cloud registration
points2poly
Reconstructing compact building models from point clouds using deep implicit fields [ISPRS 2022]
lim3d
🔥(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
4dmos
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)
superpoint_transformer
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"