mage Matching WebUI：find matches between 2 images https://github.com/Vincentqyw/image-matching-webui
SEGMENT ANYTHING MODEL IS A GOOD TEACHER FOR LOCAL FEATURE LEARNING
https://github.com/vignywang/SAMFeat
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction
https://github.com/Shiaoming/ALIKE
r2d2
https://github.com/naver/r2d2
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
https://github.com/mihaidusmanu/d2-net
aslfeat
https://github.com/lzx551402/ASLFeat
disk
https://github.com/cvlab-epfl/disk
Deformation-Aware Local Features (DALF)
verlab.dcc.ufmg.br/descriptors/dalf_cvpr23
https://github.com/verlab/DALF_CVPR_2023
MTLDesc: Looking Wider to Describe Better
https://github.com/vignywang/MTLDesc
CVPR 2022 "Self-Supervised Equivariant Learning for Oriented Keypoint Detection
https://github.com/bluedream1121/REKD
Learning Rotation-Equivariant Features for Visual Correspondence (CVPR 2023)
https://github.com/bluedream1121/RELF
FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning
superpoint (训练复现) https://github.com/eric-yyjau/pytorch-superpoint https://github.com/rpautrat/SuperPoint
superpoint+语义head
https://github.com/Gabriel-SGama/Semantic-SuperPoint
Shared Coupling-bridge for Weakly Supervised Local Feature Learning https://github.com/sunjiayuanro/SCFeat
SiLK - Simple Learned Keypoints https://github.com/facebookresearch/silk
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization https://github.com/menelaoskanakis/ZippyPoint
Detect, Don't Describe --- Describe, Don't Detect for Local Feature Matching https://github.com/Parskatt/DeDoDe
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors (ICRA2023) https://github.com/PRBonn/descriptor-dr
DAC: Detector-Agnostic Spatial Covariances for Deep Local Features https://github.com/javrtg/DAC
结合语义 SFD2: Semantic-guided Feature Detection and Description
RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching
UR2KiD: Unifying Retrieval, Keypoint Detection, and Keypoint Description without Local Correspondence Supervision
Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes
Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation
https://github.com/prime-slam/evolin
L2D2: Learnable Line Detector and Descriptor https://github.com/hichem-abdellali/L2D2
SOLD² - Self-supervised Occlusion-aware Line Description and Detection https://github.com/cvg/SOLD2
DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients, accepted at CVPR 2023 https://github.com/cvg/DeepLSD
Line as a Visual Sentence: Context-Aware Line Descriptor for Visual Localization https://github.com/yosungho/LineTR
L2D2: Learnable Line Detector and Descriptor https://github.com/hichem-abdellali/L2D2
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud https://github.com/zxrzju/SuperLine3D (lidar)
LETR: Line Segment Detection Using Transformers without Edges https://github.com/mlpc-ucsd/LETR
PPGNet: Learning Point-Pair Graph for Line Segment Detection https://github.com/svip-lab/PPGNet
https://github.com/danini/progressive-x
https://github.com/B1ueber2y/JLinkage
3D Line Mapping Revisited, CVPR 2023 https://github.com/cvg/limap
LIFE: Lighting Invariant Flow Estimation https://github.com/wx-b/LIFE
DKM: Dense Kernelized Feature Matching for Geometry Estimation https://github.com/Parskatt/dkm
PMatch: Paired Masked Image Modeling for Dense Geometric Matching https://github.com/ShngJZ/PMatch
RoMa:Revisiting Robust Losses for Dense Feature Matching https://github.com/Parskatt/RoMa
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network https://github.com/PruneTruong/DenseMatching
DiffMatch: Diffusion Model for Dense Matching https://ku-cvlab.github.io/DiffMatch/ https://github.com/KU-CVLAB/DiffMatch
Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network
AirCode: A Robust Object Encoding Method. IEEE Robotics and Automation Letters (2022) https://github.com/wang-chen/AirCode
Graph-Based Contrastive Learning for Description and Detection of Local Features https://github.com/RealZihaoWang/GCLFeat
patch2pix https://github.com/GrumpyZhou/patch2pix
caps：Learning Feature Descriptors using Camera Pose Supervision https://github.com/qianqianwang68/caps
posfeat：Decoupling Makes Weakly Supervised Local Feature Better https://github.com/The-Learning-And-Vision-Atelier-LAVA/PoSFeat
PATS: Patch Area Transportation with Subdivision for Local Feature Matching https://zju3dv.github.io/pats/
IMP: Iterative Matching and Pose Estimation with Adaptive Pooling https://github.com/feixue94/imp-release
https://github.com/GrumpyZhou/image-matching-toolbox
Doppelgangers: Learning to Disambiguate Images of Similar Structures
doppelgangers-3d.github.io
ResMatch: Residual Attention Learning for Local Feature Matching
https://github.com/ACuOoOoO/ResMatch
Scene-Aware Feature Matching
FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network (CVPR 2023) https://github.com/SJTU-ViSYS/FeatureBooster
superglue https://github.com/magicleap/SuperGluePretrainedNetwork
SGMNET ICCV'21 "Learning to Match Features with Seeded Graph Matching Network https://github.com/vdvchen/SGMNet
FGCNet: Fast Graph Convolution for Matching Features
openglue https://github.com/ucuapps/OpenGlue
点云superglue Keypoint Matching for Point Cloud Registration using Multiplex Dynamic Graph Attention Networks https://github.com/nubot-nudt/MDGAT-matcher
(点云superglue)Geometric Transformer for Fast and Robust Point Cloud Registration https://github.com/minhaolee/GeoTransformer
点线段匹配统一架构 gluestick https://github.com/cvg/GlueStick
AffineGlue: Joint Matching and Robust Estimation
2023 LightGlue: Local Feature Matching at Light Speed github.com/cvg/LightGlue
loftr https://github.com/zju3dv/LoFTR
Local Feature Matching with Transformers for low-end devices. LoFTR method adaptation approach. https://github.com/Kolkir/Coarse_LoFTR_TRT
se-loftr：A case for using rotation invariant features in state of the art feature matchers https://github.com/georg-bn/se2-loftr
MatchFormer: Interleaving Attention in Transformers for Feature Matching https://github.com/jamycheung/MatchFormer
deepmatcher https://github.com/XT-1997/DeepMatcher
OETR: Guide Local Feature Matching by Overlap Estimation https://github.com/TencentYoutuResearch/ImageMatching-OETR
OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature Matching https://github.com/DK-HU/OAMatcher
AdaMatcher: Adaptive Assignment for Geometry Aware Local Feature Matching https://github.com/TencentYoutuResearch/AdaMatcher
ASTR: Adaptive Spot-Guided Transformer for Consistent Local Feature Matching(CVPR 2023) https://astr2023.github.io/
ECCV'22 “ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer” https://github.com/apple/ml-aspanformer
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching
AAAI23 TopicFM: Robust and Interpretable Topic-Assisted Feature Matching https://github.com/TruongKhang/TopicFM
AAAI23 "ConvMatch: Rethinking Network Design for Two-View Correspondence Learning" https://github.com/SuhZhang/ConvMatch
Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative Keypoints
https://github.com/ewrfcas/CasMTR
E3CM: Epipolar-Constrained Cascade Correspondence Matching
https://github.com/GabbySuwichaya/2D-3D-Matching
Efficient & Effective Prioritized Matching for Large-Scale Image-Based Localization
Recalling Direct 2D-3D Matches for Large-Scale Visual Localization
Efficient Global 2D-3D Matching for Camera Localization in a Large-Scale 3D Map
Efficient 2D-3D Matching for Multi-Camera Visual Localization
2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point Cloud
BPNPnet：Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching https://github.com/BingCS/P2-Net
GoMatch -- "Is Geometry Enough for Matching in Visual Localization" [ECCV2022] https://github.com/dvl-tum/gomatch
(GAM,BMnet)Improving Feature-based Visual Localization by Geometry-Aided Matching https://github.com/openxrlab/xrlocalization
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds https://github.com/minhaolee/2D3DMATR
BANSAC: A dynamic BAyesian Network for adaptive SAmple Consensus
https://github.com/merlresearch/bansac
多视图几何稳定性研究
On the Instability of Relative Pose Estimation and RANSAC’s Role