SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
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Updated
Oct 30, 2022 - 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)
A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
🤗 image matching toolbox webui
[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
[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.
[CVPR 2023] DKM: Dense Kernelized Feature Matching for Geometry Estimation
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences [CVPR2021]
💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.
Python (Pytorch) and Matlab (MatConvNet) implementations of CVPR 2021 Image Matching Workshop paper DFM: A Performance Baseline for Deep Feature Matching
SuperPoint and SuperGlue with TensorRT. Deploy with C++.
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
A framework for building high-performance real-time multiple object trackers
Interactive code for image similarity using SIFT algorithm
An Evaluation of Feature Matchers for Fundamental Matrix Estimation (BMVC 2019)
[AAAI2023] TopicFM: Robust, Efficient, and Interpretable Topic-Assisted Feature Matching
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