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Starred repositories
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scal…
3D DATA PROCESSING AND MODELING ESSENTIALS: A curated collection of tools, literature, courses, and datasets for mastering 3D point cloud technology.
Rail3D: Multi-Context Point Cloud Dataset and New Approach for Railways Semantic Understanding
Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.
A package for semantic segmentation of 3D unorganized point clouds using Machine Learning techniques.
Command-Line Interface (CLI) application for efficient and scalable generation of large-scale 3D building models.
Command-Line Interface (CLI) application to automatically correct buildings ground-floor elevation in 3D city models.
TESSERAE3D: A BENCHMARK FOR TESSERAE SEMANTIC SEGMENTATION IN 3D POINT CLOUDS
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Updated Jul 19, 2021
RF4PCC: Random Forest 4 Point Cloud Classification, 3DOM FBK
Open3D: A Modern Library for 3D Data Processing
A light and compact MERN application for the management of CityJSON city models
Ce projet est développé dans le cadre de mon travail de fin d'étude à l'université de Liège, unité de géomatique pour l'obtention de diplôme d'ingénieur en sciences géomatiques et ingénierie topogr…
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Updated Feb 2, 2021
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
akharroubi / EOBrowser
Forked from sentinel-hub/EOBrowserThe Earth Observation Browser is a search tool for Sentinel-1, -2, -3, Landsat 5, 7, 8, Modis and Envisat satellite imagery
akharroubi / pointnet.pytorch
Forked from fxia22/pointnet.pytorchpytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
akharroubi / potree
Forked from potree/potreeWebGL point cloud viewer for large datasets