Point cloud
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.
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A resource repository for 3D machine learning
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Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
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OpenMMLab's next-generation platform for general 3D object detection.
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A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. π·
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The public CGAL repository, see the README below
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The open source mesh processing system
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OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
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open Multi-View Stereo reconstruction library
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User-friendly, commercial-grade software for processing aerial imagery.
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Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
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Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia, Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)
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Papers and Datasets about Point Cloud.
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Pytorch framework for doing deep learning on point clouds.
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Specification for streaming massive heterogeneous 3D geospatial datasets π
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