point-cloud-segmentation 开源项目推荐（73 个）

Yochengliu /awesome-point-cloud-analysis

关于点云分析（处理）的论文和数据集列表

pengsongyou /openscene

[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies

cardwing /Codes-for-PVKD

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)

yzrobot /adaptive_clustering

[ROS package] Lightweight and Accurate Point Cloud Clustering

url-kaist /TRAVEL

[RA-L] Traversable ground and above-ground object segmentation using graph representation of 3D LiDAR scans

WeikaiTan /Toronto-3D

A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

drprojects /DeepViewAgg

[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"

anshulpaigwar /GndNet

GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.

uav4geo /OpenPointClass

Free and open source semantic segmentation of 3D point clouds, fast and memory efficient.

nubot-nudt /InsMOS

[IROS 23] InsMOS：LiDAR 数据中的实例感知运动目标分割

VaclavNezerka /Cloud2BIM

Codes for automatic point-cloud-to-BIM conversion

rubenwiersma /deltaconv

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

GuanRunwei /Achelous

The official repository of Achelous and Achelous++

LimHyungTae /pcl_tutorial

ROS PCL Library Tutorial for everyone

ctu-vras /traversability_estimation

Semantic Segmentation of Images and Point Clouds for Traversability Estimation

KuangenZhang /ldgcnn

Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features

VirtualRoyalty /PointCloudSegmentation

The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection

syau-miao /seg4maize

该项目在 GitHub 上没有填写描述

TixiaoShan /autoware_tracker

Minimum code needed to run Autoware multi-object tracking

Parikshit00 /Deep3D-FloorPlan-Net

Deep 3D Semantic Segmentation of common indoor objects on 3D point clouds .ply datas using RandLANet model with RANSAC based planar estimation post-processing techniques for prediction of vectorized floor plan of indoor scenes.