Showing 1-8 of 8 projects
A Python library for easy and robust visual localization using deep learning and feature matching.
A PyTorch implementation of the SuperGlue graph neural network for feature matching and pose estimation.
Python/C++ Visual SLAM pipeline for 3D reconstruction
An open-source library for local feature matching using Transformers, useful for 3D vision and pose estimation tasks.
A C++ library for pixel-perfect structure-from-motion with featuremetric refinement, awarded best student paper at ICCV 2021.
An open-source, feature-rich web UI for image matching and visual localization tasks using AI models like SIFT, SuperPoint, and SuperGlue.
A robust dense feature matcher for estimating pixel-dense warps and reliable certainties between image pairs.
A clean and concise Python library that implements the SIFT (Scale-Invariant Feature Transform) algorithm for computer vision tasks.
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