A resource repository for 3D machine learning
- 3d-reconstruction
- papers
- neural-networks
- 3d
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A resource repository for 3D machine learning
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.
OpenMMLab's next-generation platform for general 3D object detection.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
3D LIDAR-based Graph SLAM
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
A collection of GICP-based fast point cloud registration algorithms
World's first general purpose 3D object detection codebse.
Point cloud importer & renderer for Unity
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
A lean C++ library for working with point cloud data
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
Robotics with GPU computing
Interactive Map Correction for 3D Graph SLAM
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
A list of resources about deep learning solutions on 3D shape processing
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
A graphical user interface to annotate point clouds and 3D data.