3d Reconstruction
Showing 34 of 34 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.
An open-source differentiable dense SLAM library for PyTorch, enabling gradient flow from map outputs to sensor inputs.
A technique using Fourier feature mappings to enable neural networks to learn high-frequency functions in low-dimensional domains.
A Blender addon for importing photogrammetry and NeRF data from various reconstruction libraries and point cloud formats.
Official JAX implementation of Mip-NeRF, a multiscale neural radiance field model for anti-aliased novel view synthesis.
A curated list of research papers and resources for scene understanding in computer vision, covering 3D reconstruction, layout estimation, and primitive detection.
Open-source software for 3D medical imaging reconstruction from CT and MRI DICOM files.
Real-time 3D semantic reconstruction library for robotics, building dense metric-semantic maps from 2D sensor data.
Real-time 3D semantic mapping system using a handheld RGB-D camera, built on ROS with ORB_SLAM2 and PSPNet.
A curated collection of robotics and computer vision datasets for research and development.
A real-time visual odometry pipeline using stereo event-based cameras, leveraging Time Surfaces for direct geometric mapping and tracking.
A curated list of deep learning resources for 3D shape processing, covering classification, reconstruction, and generation.
An optimized, lightweight CUDA-based 3D reconstruction implementation derived from the original Kinfu algorithm.
A CUDA-based implementation of KinectFusion for real-time dense surface reconstruction and tracking using a Kinect camera.
A city-scale dataset and platform for learning holistic 3D structures from panoramic and perspective imagery with detailed annotations.
A university course syllabus and materials for a project-based class on practical 3D reconstruction using computer vision.
A university course covering practical 3D reconstruction from images using OpenCV and Python, with project-based learning.
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