LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
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Updated
Apr 16, 2024 - Python
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
Training library for local feature detection and matching
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
🤗 image matching toolbox webui
This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
[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
Open Source Graph Neural Net Based Pipeline for Image Matching
AdaLAM is a fully handcrafted realtime outlier filter integrating several best practices into a single efficient and effective framework. It detects inliers by searching for significant local affine patterns in image correspondences.
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
Making Structure-from-Motion (COLMAP) more robust to symmetries and duplicated structures
GIM: Learning Generalizable Image Matcher From Internet Videos (ICLR 2024 Spotlight)
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences [CVPR2021]
Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.
Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"
A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"
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