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🍃 JavaScript library for mobile-friendly interactive maps 🇺🇦
R package aRchi. Tree architecture from terrestrial laser scanning (TLS) data
SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.
Techniques for deep learning with satellite & aerial imagery
An advanced geospatial data analysis platform
Tree crown polygon-based assessment for airborne LiDAR data individual tree segmentation inter-comparison
Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN
Python Package for Airborne RGB machine learning
Individual-tree attribute scaling from airborne laser scanning point clouds
PyCrown - Fast raster-based individual tree segmentation for LiDAR data
Submanifold sparse convolutional networks
OpenMMLab's next-generation platform for general 3D object detection.
[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)
Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral), PPT (CVPR'24), MSC (CVPR'23)
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
An OpenGL point cloud viewer for R able to handle several millions of points
Airborne LiDAR data manipulation and visualisation for forestry application