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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 64 public repositories matching this topic...

anhthuan1999 / PointCT

PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic Segmentation (WACV 2024)

attention-mechanism semantic-segmentation 3d 3d-point-clouds weakly-supervised

Updated Mar 12, 2024
Python

Arction / lcjs-example-0902-3d50kPoints

A demo application showcasing using LightningChart JS 3D point series.

javascript demo example point-cloud scatter-plot 3d 3d-point-clouds lightningchart-js 3d-data-visualization lcjs

Updated Dec 1, 2020
JavaScript

hayashimasa / FaceAlignment

computer-vision deep-learning 3d-point-clouds

Updated Jan 11, 2020
Python

Donvlouss / f3l

A 3D and 2D processing base on glam

rust computer-vision point-cloud 3d-point-clouds pointcloud 3d-mathematical-functions

Updated May 16, 2024
Rust

siantonelli / causal-mechanisms-on-pointclouds

Independent Causal Mechanisms on 3D point clouds

3d-point-clouds adversarial-learning causal-mechanisms

Updated Jul 17, 2021
Jupyter Notebook

HuangCongQing / 3D-Datasets

点云数据集汇总介绍 | 代码

datasets 3d-point-clouds pointcloud 3d-pointclouds

Updated May 4, 2020

shahabbai / 3D_Pointcloud

Create a 3D points cloud with Horn Schunck algorithm

computer-vision 3d 3d-reconstruction 3d-point-clouds horn-schunck

Updated Jul 30, 2023
Python

VinAIResearch / GaPro

GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers (ICCV 2023)

3d-point-clouds dynamic-convolution weakly-supervised-learning box-detection 3d-instance-segmentation iccv2023

Updated Oct 11, 2023
Python

townim-faisal / lwf-3D

[IWANN 2021] Reducing catastrophic forgetting in 3D point cloud objects with help of semantic information

3d-point-clouds continual-learning catastrophic-forgetting

Updated Jun 8, 2021
Python

siantonelli / pointnet-explainability

Master's thesis project: Analyzing the learnings of a 3D PointNet

3d-point-clouds feature-visualization 3d-autoencoders pointnet-pytorch input-optimization

Updated Jan 20, 2022
Python

superbijk / pytorch_pcd_metrics

PyTorch CUDA accelerated evaluation metrics for point cloud generation; All right are given to original authors

machine-learning computer-vision evaluation-metrics 3d-point-clouds

Updated Sep 24, 2022
Cuda

bwittmann / TransformerRefer

Utilizing a transformer-based object detector for the task of 3D visual grounding.

transformer 3d-point-clouds visual-grounding

Updated Aug 24, 2021
Python

edisonslightbulbs / 3DINTACToolkit

3DINTACT: an open-source CXX_11 project for segmenting interaction regions on tabletop surfaces near real-time

opencv real-time opengl toolkit rendering segmentation object-detection cluster-analysis 3d-point-clouds cxx11 libtorch

Updated Oct 25, 2021
CMake

VinAIResearch / Open3DIS

Open3DIS: Open-vocabulary 3D Instance Segmentation with 2D Mask Guidance (CVPR 2024)

3d-point-clouds 3d-instance-segmentation 3d-scene-understanding open-vocabulary cvpr2024

Updated May 1, 2024
Python

gmum / LoCondA

The official implementation of the "Modeling 3D Surface Manifolds with a Locally Conditioned Atlas" paper

meshes 3d-point-clouds hypernetworks

Updated Mar 23, 2021
Python

qizekun / VPP

[NeurIPS 2023] VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation

representation-learning 3d 3d-point-clouds 3d-generation conditional-generation

Updated Sep 27, 2023

dnyanshwalwadkar / DepthMapExplorer-3DPointCloudLab

Explore the World in 3D: 3DPointCloudLab is your gateway to the fascinating universe of 3D depth maps and point clouds. Whether you're a researcher, developer, or 3D enthusiast, our repository offers a treasure trove of tools, techniques, and insights dedicated to the exploration and manipulation of 3D spatial data.

artificial-intelligence 3d-reconstruction 3d-models 3d-point-clouds depth-estimation 3d-deep-learning monocular-depth-estimation

Updated Jan 3, 2024
HTML

cuge1995 / CVPR-2021-point-cloud-analysis

CVPR 2021 papers focusing on point cloud analysis

computer-vision deep-learning paper detection point-cloud classification segmentation 3d-point-clouds few-shot cvpr2021 point-cloud-analysis

Updated Aug 1, 2021

Fsoft-AIC / Open-Vocabulary-Affordance-Detection-in-3D-Point-Clouds

[IROS 2023] Open-Vocabulary Affordance Detection in 3d Point Clouds

robotics 3d-point-clouds computer-vision-ai affordance-learning iros2023

Updated Mar 25, 2024
Python

LMD0311 / DAPT

[CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis

point-cloud 3d-point-clouds efficient-deep-learning cvpr2024

Updated Mar 28, 2024
Python

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