21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Learning-based 3D reconstruction project with MVSNet for depth infering.

MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment

Dense Depth Priors for Neural Radiance Fields from Sparse Input Views

This is a unofficial fork of OpenVSLAM (https://github.com/xdspacelab/openvslam)

The framework for uncertatitnty computation for SfM pipelines.

Instant NeRF for depth/3d shape estimation of transparent objects

C++/Python Sparse Volumetric TSDF Fusion

[ICCV 2021 Oral] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo

ImpliCity: City Modeling from Satellite Images with Deep Implicit Occupancy Fields

Point Cloud Library (PCL)

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

Photogrammetric Computer Vision Framework

Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)

😎 Awesome photogrammetry projects

Open Source Computer Vision Library

A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes

OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications

Official repository for Citation Style Language (CSL) citation styles.

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…

ORB-SLAM-3 (released in 2020), built in Windows 10, Visual Studio 2019. Zip size 319 Mb

An independent tool for managing sparse photogrammetric reconstructions

A high-performance general-purpose MRF MAP solver, heavily exploiting SIMD instructions.

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

PixInsight Class Library

Lidar-Monocular Visual Odometry

Custom views of various objects for Visual Studio debugger

From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)