Visual localization made easy with hloc

🚀 AirVO upgrades to AirSLAM [TRO]🚀

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.

🤗 image matching webui

Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.

SuperPoint and SuperGlue with TensorRT. Deploy with C++.

small c++ library to quickly deploy models using onnxruntime

🚀 Deep learning includes superpoint-superglue(C++, TensorRT), and traditional algorithms include zkaze, surf, ORB, etc.

Vision-based GNSS-Free Localization for UAVs in the Wild

Inference and fine-tuning examples for vision models from 🤗 Transformers

MambaGlue: Fast and Robust Local Feature Matching With Mamba @ ICRA'25

SuperSLAM: Open Source Framework for Deep Learning based Visual SLAM (Work in Progress)

[CVPR 2023] IMP: iterative matching and pose estimation with transformer-based recurrent module

Using SuperGlue (from Magic Leap team) in Visual Place Recognition tasks. Providing full workflow from videos/images to end-to-end API and step-by-step how to use all codes.

ROS wrapper for SuperGlue and SuperPoint models

Building a full Visual SLAM pipeline to experiment with different techniques

A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

Stitch images using SuperGlue features instead of mouse-clicked points. Compute the homography through RANSAC or MSAC. Stitch more than two images using mouse-clicked points. Handle the seams. {SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)}

Image features and related matching methods

[TUD AE4270] SuperPoint & SuperGlue on OpenVINS