Efficient neural feature detector and descriptor
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
SuperPoint + ORB_SLAM2
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalabl...
Pytorch Implementation of rpautrat/SuperPoint
SuperPoint and SuperGlue with TensorRT. Deploy with C++.
The C++ implementation of SuperPoint
Codebase for training a thermal SuperPoint network and vocabulary and integrating them with ORB-SLAM2
SuperPoint Visual frontend with SPTAM
ROS wrapper for SuperGlue and SuperPoint models
Semantic Feature Points: SuperPoint and GCNv2 feature points test
Combination of monoVO-python & SuperPointPretrainedNetwork
Integrate SuperPoint and LightGlue into OpenCV image stitching or Matching algorithm
🚀 Deep learning includes superpoint-superglue(C++, TensorRT), and traditional algorithms include zkaze, surf, ORB, etc.
A simple python implemented frame-by-frame visual odometry with SuperPoint feature detector and SuperGlue feature matcher.
Pytorch implemenation of structure from motion using Libviso2, SIFT, SuperPoint, SPyNet and Sfm Learner.
This repository contains tools for visualization of keypoint matches over two images (ORB, SIFT, LIFT, SuperPoint, D2-Net).
使用SuperPoint方法提取特征点，来代替ORB-SLAM中的ORB特征