superglue
There are 39 repositories under superglue topic.
cvg/Hierarchical-Localization
Visual localization made easy with hloc
Vincentqyw/image-matching-webui
🤗 image matching toolbox webui
sair-lab/AirSLAM
🚀 AirVO upgrades to AirSLAM 🚀
yingxin-jia/SuperGlue-pytorch
[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.
3DOM-FBK/deep-image-matching
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.
xmba15/onnx_runtime_cpp
small c++ library to quickly deploy models using onnxruntime
Broad-sky/feature-detection-matching-algorithm
🚀 Deep learning includes superpoint-superglue(C++, TensorRT), and traditional algorithms include zkaze, surf, ORB, etc.
yuefanhao/SuperPoint-SuperGlue-TensorRT
SuperPoint and SuperGlue with TensorRT. Deploy with C++.
feixue94/imp-release
[CVPR 2023] IMP: iterative matching and pose estimation with transformer-based recurrent module
4ku/Place-recognition-evaluation
Benchmarking and evaluation framework for place recognition methods, featuring SuperPoint+SuperGlue, LoGG3D-Net, Scan Context, DBoW2, MixVPR, STD
adityamwagh/SuperSLAM
SuperSLAM: Open Source Framework for Deep Learning based Visual SLAM (Work in Progress)
speediedan/finetuning-scheduler
A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
ErcBunny/open_vins
[TUD AE4270] SuperPoint & SuperGlue on OpenVINS
jomariya23156/SuperGlue-for-Visual-Place-Recognition
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.
KopanevPavel/SuperGlue_ROS
ROS wrapper for SuperGlue and SuperPoint models
oym1994/ImageFeaturesAndMatching
Image features and related matching methods
TerboucheHacene/visual_localization
Vision-based GNSS-Free Localization for UAVs in the Wild
SungJaeShin/Feature_matching
The implementation about feature matching using various method !!
atfortes/ImageMatchingChallenge2022
CVPR 2022 "Image Matching: Local Features and Beyond" workshop challenge: Kaggle Silver Medal (34th out of 642 teams).
xmba15/torch_cpp
scripted and traced deep learning models and their applications
bimalka98/Stitch-images-using-SuperGlue-GNN
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)}
MarkNaeem/VSLAM-playground
Building a full Visual SLAM pipeline to experiment with different techniques
nishiwen1214/SuperGLUE-bert4keras
基于bert4keras的SuperGLUE基准代码
Vincentqyw/Optimal-Transport
🦆 A simple sinkhorn algorithm to solve optimal transport problem writen in Matlab
borsukvasyl/SuperGlue
A PyTorch implementation of SuperGlue
xmba15/superpoint_superglue_deployment
simple library to make life easy when deploying superpoint, superglue models
AaltoVision/dpqed
[ECCV'24] Differentiable Product Quantization for Memory Efficient Camera Relocalization
Factral/image-stitching-supeglue
image stitching using superglue
viniavskyi-ostap/superglue-lightning
SuperGlue training pipeline written using Pytorch Lightning
zer0Kerbal/Kaboom
Another way to not go to space today! What can be more Kerbal than more Explosions!* *Now with SuperKlue Implosions!* KaboOom! (BOOM) is an add-on for Kerbal Space Program.
Bachfischer/COMP90086-Fine-grained-localisation
Source code for COMP90086 Project 2021
dana4056/Ta-da-world
GPS기반 온라인 보물찾기 게임 서비스입니다
rishabhpahuja/Wombat
This repository consists of two major components for a project called E-waste recycling system. One component is used to generate a labelled dataset to train U-Net segmentation network. The second component is used to perform non-rigid registration using Demon's algorithm.
xmba15/coarse_to_fine_image_registration
Coarse-to-Fine High Resolution Image Alignment/Registration
amberwalker-ds/Advanced_NLP_project
This project involves analyzing and classifying the BoolQ dataset from the SuperGLUE benchmark. We implemented various classifiers and techniques, including rules-based logic, BERT, RNN, and GPT-3/4 data augmentation, achieving performance improvements.
russel0719/SuperGlue_training_for_yfcc100m_dataset
This repository contains the training code for SuperGlue. Uses yfcc100m dataset by generating random homographies.