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
A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
🤗 image matching toolbox 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.
[CVPR 2023] DKM: Dense Kernelized Feature Matching for Geometry Estimation
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences [CVPR2021]
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
Interactive code for image similarity using SIFT algorithm
[AAAI2023] TopicFM: Robust, Efficient, and Interpretable Topic-Assisted Feature Matching
图像配准算法。包括 SIFT、ORB、SURF、AKAZE、BRIEF、matchTemplate
Barcode detection and decoding using openCV and Zbar.
[CVPR'24] MESA: Matching Everything by Segmenting Anything
ONNX-compatible DeDoDe 🎶 Detect, Don't Describe - Describe, Don't Detect, for Local Feature Matching. Supports TensorRT 🚀
Implementing different steps to estimate the 3D motion of the camera. Provides as output a plot of the trajectory of the camera.
Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces (ICCV 2021)
[CVPR2023] PEAL: Prior-embedded Explicit Attention Learning for Low-overlap Point Cloud Registration
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