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3d-point-clouds

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.

Here are 69 public repositories matching this topic...

CloudCompare / CloudCompare

CloudCompare main repository

point-cloud 3d-point-clouds

Updated Nov 17, 2024
C++

daavoo / pyntcloud

pyntcloud is a Python library for working with 3D point clouds.

python deep-learning python-library point-clouds 3d 3d-graphics 3d-models 3d-point-clouds 3d-deep-learning

Updated Feb 7, 2024
Python

lightaime / deep_gcns_torch

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

data-mining bioinformatics computer-vision deep-learning cheminformatics social-network pytorch 3d-point-clouds graph-convolutional-networks science-research geometric-deep-learning graph-neural-networks deep-gcns

Updated Jul 31, 2022
Python

stevenygd / PointFlow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

machine-learning computer-vision shapes pytorch 3d-point-clouds continuous-normalizing-flows

Updated Aug 7, 2024
Python

lightaime / deep_gcns

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

3d-point-clouds geometric-deep-learning graph-neural-networks deep-gcns

Updated Jan 23, 2020
Python

Yang7879 / 3D-BoNet

🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)

computer-vision 3d-point-clouds 3d-vision instance-segmentation 3d-object-detection

Updated Mar 2, 2021
Python

HuangCongQing / 3D-Point-Clouds

🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等

deep-learning cpp point-cloud python3 ros dataset pcl 3d-point-clouds sota 3d-detection ros-melodic 3d-semantic-segmentation 3d-point-cloud

Updated Jun 20, 2024
Jupyter Notebook

Yochengliu / Relation-Shape-CNN

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

deep-learning artificial-intelligence convolutional-neural-network 3d-graphics 3d-point-clouds 3d-convolutional-network geometric-deep-learning normal-estimation 3d-shape-segmentation 3d-shape-recognition

Updated Sep 30, 2021
Python

jhdewitt / sltk

An OpenCV-based structured light processing toolkit.

Updated Apr 4, 2018
C++

CloudCompare / CCCoreLib

C++ library which provides data structures & algorithms for working with 3D point cloud data

point-cloud 3d-point-clouds

Updated Nov 11, 2024
C++

Yvanali / Deep-Learning-for-LiDAR-Point-Clouds

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

tensorflow point-cloud pytorch cvpr iccv 3d-point-clouds nips kitti eccv lidar-point-cloud 3d-detection

Updated Oct 31, 2020

RuojinCai / ShapeGF

Learning Gradient Fields for Shape Generation

machine-learning computer-vision shapes 3d-point-clouds

Updated Jun 8, 2021
Python

wangx1996 / LIDAR-Segmentation-Based-on-Range-Image

This is a lidar segmentation method based on range image.

3d-point-clouds range-image lidar-segmentation

Updated Jan 22, 2021
C++

lightaime / sgas

SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

bioinformatics computer-vision 3d-point-clouds automl neural-architecture-search geometric-deep-learning graph-neural-networks deep-gcns

Updated Jun 5, 2021
Python

MohamedAfham / CrossPoint

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

deep-learning point-cloud transfer-learning unsupervised-learning 3d-point-clouds object-classification few-shot-learning self-supervised-learning cross-modal-learning

Updated Apr 27, 2023
Python

saimanoj18 / iros_bshot

B-SHOT : A Binary Feature Descriptor for Fast and Efficient Keypoint Matching on 3D Point Clouds

feature-extraction pcl 3d 3d-point-clouds 3d-features

Updated Mar 21, 2016
C++

LMD0311 / PointMamba

[NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis

computer-vision mamba 3d-point-clouds state-space-model

Updated Oct 11, 2024
Python

Yochengliu / DensePoint

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

deep-learning artificial-intelligence convolutional-neural-networks 3d-graphics 3d-point-clouds 3d-convolutional-network geometric-deep-learning normal-estimation 3d-shape-segmentation 3d-shape-recognition

Updated Sep 30, 2021
Python

AuTURBO / RDSim

Robo Delivery Simulator

gazebo velodyne 3d-point-clouds cartographer glim hdl-localization nav2 ros2-humble

Updated Nov 3, 2024
C++

VinAIResearch / ISBNet

ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)

3d-point-clouds dynamic-convolution sparse-convolution 3d-instance-segmentation cvpr2023

Updated Nov 12, 2024
Python

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