Point Clouds
Showing 11 of 11 projects
A comprehensive library for building and training Graph Neural Networks (GNNs) with PyTorch.
A PyTorch library for building and training Graph Neural Networks (GNNs) on structured and irregular data.
An open-source SDK for logging, storing, querying, and visualizing multimodal, time-series data like images, point clouds, and tensors.
A curated repository of resources, datasets, and research papers for 3D machine learning, covering computer vision, graphics, and deep learning.
A library for compressing and decompressing 3D geometric meshes and point clouds to improve storage and transmission.
A curated list of papers, datasets, and code for 3D point cloud analysis research, covering classification, segmentation, detection, and more.
An open specification for streaming massive heterogeneous 3D geospatial datasets across desktop, web, and mobile applications.
A modular C++ library implementing the Iterative Closest Point (ICP) algorithm for aligning 2D and 3D point clouds in robotics and computer vision.
An end-to-end 3D object detection network that uses deep point set networks and Hough voting to directly detect objects in point clouds.
A deep learning pipeline for 3D object detection from RGB-D data by combining 2D detectors with PointNet-based 3D processing.
An efficient neural network for semantic segmentation of large-scale 3D point clouds using random sampling.
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