SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
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Updated
Aug 30, 2024 - Python
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Visual localization made easy with hloc
🤗 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)
Wrapper of 50+ image matching models with a unified interface
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
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
Interactive code for image similarity using SIFT algorithm
[CVPR 2025] JamMa is a lightweight image matcher that enables fast internal and mutual interaction of images with joint Mamba.
Feature Detection and Matching with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK through the Brute Force and FLANN algorithms using Python and OpenCV
[CVPR'24 & TPAMI'26] Area to Point Matching Framework
图像配准算法。包括 SIFT、ORB、SURF、AKAZE、BRIEF、matchTemplate
[AAAI2023] TopicFM: Robust, Efficient, and Interpretable Topic-Assisted Feature Matching
Implementation of RDD (CVPR 2025).
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