🤗 image matching webui

[TRO 2025] AirVO upgrades to AirSLAM

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

small c++ library to quickly deploy models using onnxruntime

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

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

OpenCV图像拼接算法集成 SuperPoint 、LightGlue 特征点检测和匹配深度学习模型

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

Merge superpoint、lightglue、MixVPR into VINS-FUSION for loop closure with TensorRT

SuperPoint replace the sift in colmap framework

Benchmarking and evaluation framework for place recognition methods, featuring SuperPoint+SuperGlue, LoGG3D-Net, Scan Context, DBoW2, MixVPR, STD

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

Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks

Graph based SLAM for multiple cameras using SuperPoint feature detector

C++ implementation of SuperPoint inference in LibTorch

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

Image features and related matching methods

The implementation about feature matching using various method !!

Deployment and evaluation code for a SuperPoint-based Stereo Visual Odometry

Building a full Visual SLAM pipeline to experiment with different techniques

Dive into cutting-edge FusionSLAM, where SuperPoint, SuperGlue, Neural Depth Estimation, and Instant-NGP converge, elevating Monocular SLAM to unparalleled precision and performance. Redefining mapping, localization, and reconstruction in a single camera setup.

SuperPoint with pretrain model and implement in Pytorch C++

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

CVPR 2022 "Image Matching: Local Features and Beyond" workshop challenge: Silver Medal 🥈

Twilight SLAM is unique framework augmenting the SLAM navigation frameworks with low-light image enhancement modules for navigating in dusky or extremely low-light or any illumination rendered featureless environments.

MFD - Multispectral Feature Descriptor.

Pytorch implemenation of structure from motion using Libviso2, SIFT, SuperPoint, SPyNet and Sfm Learner.

A cutlass cute implementation of headdim-64 flashattentionv2 TensorRT plugin for LightGlue. Run on Jetson Orin NX 8GB with TensorRT 8.5.2.