#计算机科学#SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
翻译 - SuperGlue：学习功能与图神经网络的匹配（CVPR 2020，口腔）
#计算机科学#Visual localization made easy with hloc
翻译 - 视觉本地化变得容易
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
#计算机科学#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)
#计算机科学#🤗 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.
[CVPR 2023] DKM: Dense Kernelized Feature Matching for Geometry Estimation
A framework to easily use 32 (and growing) different image matching methods
[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
KISS-Matcher: Fast, Robust, and Scalable Registration for All Point Clouds
#计算机科学#SuperPoint and SuperGlue with TensorRT. Deploy with C++.
#计算机科学#Patch2Pix: Epipolar-Guided Pixel-Level Correspondences [CVPR2021]
#计算机科学#A framework for building high-performance real-time multiple object trackers
💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.
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
Python (Pytorch) and Matlab (MatConvNet) implementations of CVPR 2021 Image Matching Workshop paper DFM: A Performance Baseline for Deep Feature Matching
Interactive code for image similarity using SIFT algorithm
Integrate SuperPoint and LightGlue into OpenCV image stitching or Matching algorithm
