3d Reconstruction
Showing 18 of 18 projects
An open-source library for rapid development of software dealing with 3D data, with support for C++ and Python.
An open-source, node-based visual programming framework for creating and executing complex 3D reconstruction and computer vision pipelines.
A curated repository of resources, datasets, and research papers for 3D machine learning, covering computer vision, graphics, and deep learning.
A curated list of awesome neural radiance fields (NeRF) papers, implementations, and resources.
An open-source, portable system for processing and editing unstructured 3D triangular meshes from 3D scanning.
A curated list of papers, software, and resources for 3D reconstruction from images, covering SLAM, SfM, and MVS.
A curated list of papers, datasets, and code for 3D point cloud analysis research, covering classification, segmentation, detection, and more.
A modular Python toolbox for state-of-the-art 6-DoF visual localization using hierarchical image retrieval and feature matching.
An open-source photogrammetric computer vision framework for 3D reconstruction and camera tracking from photographs and videos.
A hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras with modern features, loop closure, and dense reconstruction.
A versatile visual SLAM framework for monocular, stereo, and RGB-D cameras with map storage and reuse capabilities.
An open research-oriented C++ framework for multi-session and multi-robot visual-inertial mapping and localization.
A curated list of key papers and resources on implicit neural representations, a novel approach to parameterizing signals as continuous functions.
A large-scale dataset of object-centric video clips with 3D bounding box annotations and AR metadata for 3D object detection research.
A C++ library for real-time metric-semantic SLAM, building semantically annotated 3D meshes from camera and IMU data.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos using TensorFlow.
An end-to-end deep learning system for reconstructing complete 3D scenes (geometry and semantics) from posed 2D images.
A real-time monocular SLAM system for computing camera trajectories and sparse 3D scene reconstruction.
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