Stars
Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.
Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
An open source SDK for logging, storing, querying, and visualizing multimodal and multi-rate data
An extension of Open3D to address 3D Machine Learning tasks
Code release for Intensity Harmonization for Airborne LiDAR
OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World
[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds
🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
A benchmark for point clouds registration algorithms
Polylidar3D - Fast polygon extraction from 3D Data
A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)
Kernel Point Convolution implemented in PyTorch
A fast and robust point cloud registration library
The NASA Ames Stereo Pipeline is a suite of automated geodesy & stereogrammetry tools designed for processing planetary imagery captured from orbiting and landed robotic explorers on other planets.
SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Deep Hough Voting for 3D Object Detection in Point Clouds
pyntcloud is a Python library for working with 3D point clouds.
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
a module for 3D semantic segmentation in point clouds.
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
A list of papers and datasets about point cloud analysis (processing)
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Graph Neural Network Library for PyTorch