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3d-machine-learning

A resource repository for 3D machine learning

3d-mpa

[CVPR 2020] Multi Proposal Aggregation for 3D Semantic Instance Segmentation

3dlinedetection

A simple and efficient 3D line detection algorithm for large scale unorganized point cloud

awesome-lane-detection

A paper list of lane detection.

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

d2-net

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

dongzhenwhu.github.io

draco

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.

helloworld

this is my test for github

jsis3d

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

orthogonal-planes

Code accompanying the paper "From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds" by C. Sommer, Y. Sun, L. Guibas, D. Cremers and T. Birdal.

pointgroup

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

pointrcnn

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

prnet

prnet

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

research-groups-of-point-cloud-processing

国内外点云处理著名的研究小组和学者

spconv

Spatial Sparse Convolution in PyTorch

superpoint_graph

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

supervoxel-for-3d-point-clouds

A no dependency, header-only, license free, fast supervoxel segmentation library for 3D point clouds