ChenXiaoyangZZZ

affnet

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

ASLFeat

Implementation of CVPR'20 paper - ASLFeat: Learning Local Features of Accurate Shape and Localization

TopicFM

[AAAI2023] TopicFM: Robust, Efficient, and Interpretable Topic-Assisted Feature Matching

magsac

The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold

graph-cut-ransac

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

pydegensac

Advanced RANSAC (DEGENSAC) with bells and whistles for H and F estimation

LoFTR

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

patch2pix

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences [CVPR2021]

Deep-homography-estimation-pytorch

PyTorch implementation of Deep Homography Estimation.

CVPR21-Deep-Lucas-Kanade-Homography

A generic pipeline to align multimodal image pairs from different sensors by extending Lucas-Kanade on feature maps. CVPR2021

MatchFormer

Repository of MatchFormer

SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

RetinexNet

A Tensorflow implementation of RetinexNet

r2d2

d2-net

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

lf-net-release

Code Release for LF-Net: Learning Local Features from Images

Key.Net

[ICCV 2019] Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters

pytorch-superpoint

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

voxelmorph

Unsupervised Learning for Image Registration

HOPC

HOPC matching code

image-matching-benchmark

Public release of the Image Matching Benchmark: https://vision.uvic.ca/image-matching-challenge

Feature-Detection-and-Matching

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

kaze

KAZE Features

libdaisy

DAISY: A Fast Local Descriptor for Dense Matching

imagefusion_densefuse

DenseFuse (IEEE TIP 2019, Highly Cited Paper) - Python 3.6, TensorFlow 1.8.0

DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

SuperPointPretrainedNetwork

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

SuperPoint

Efficient neural feature detector and descriptor

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠