SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
- Updated
Aug 30, 2024 - Python
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Visual localization made easy with hloc
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)
🤗 image matching webui
[CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.
A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
A framework to easily use 37 (and growing) different image matching methods
KISS-Matcher: Fast, Robust, and Scalable Registration + ROS2 SLAM examples
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
[CVPR 2023] DKM: Dense Kernelized Feature Matching for Geometry Estimation
[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
SuperPoint and SuperGlue with TensorRT. Deploy with C++.
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences [CVPR2021]
UFM: A Unified Dense Image Correspondence Estimator for both Optical Flow & Wide Baseline Matching Tasks. Matches any pair of images. (NeurIPS 2025)
MambaGlue: Fast and Robust Local Feature Matching With Mamba @ ICRA'25
A framework for building high-performance real-time multiple object trackers
Interactive code for image similarity using SIFT algorithm
💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.
[ICCV 2025, Highlight] BUFFER-X: Zero-Shot Point Cloud Registration
Add a description, image, and links to the feature-matching topic page so that developers can more easily learn about it.
To associate your repository with the feature-matching topic, visit your repo's landing page and select "manage topics."