Point cloud topic
A point cloud is a set of data points in space. The points represent a 3D shape or object. Each point has its set of X, Y and Z coordinates.
GACNet
Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'
JS3C-Net
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)
PointASNL
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）
Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
fastreg
Fast and Robust Registration of Partially Overlapping Point Clouds in Driving Applications
isosurface
Rust algorithms for isosurface extraction
awesome-visual-slam
:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
SGGpoint
[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)
KITTI-Dataset
Visualising LIDAR data from KITTI dataset.
awesome-3D-point-cloud-attacks
List of state of the art papers, code, and other resources