Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
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Updated
Aug 11, 2023 - Jupyter Notebook
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
🚀 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"
🤗 image matching toolbox webui
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.
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
Integrate SuperPoint and LightGlue into OpenCV image stitching or Matching algorithm
SuperSLAM: Open Source Framework for Deep Learning based Visual SLAM (Work in Progress)
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
MFD - Multispectral Feature Descriptor
SuperPoint with pretrain model and implement in Pytorch C++
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks
Building a full Visual SLAM pipeline to experiment with different techniques
Merge superpoint、lightglue、MixVPR into VINS-FUSION for loop closure with TensorRT
Pytorch implemenation of structure from motion using Libviso2, SIFT, SuperPoint, SPyNet and Sfm Learner.
Image features and related matching methods
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