Image-Matching-Paper-List

A personal list of papers and resources for image matching, pose estimation and some other 3D reconstruction tasks, including perspective images and panoramas (marked with 🌐).

Survey
Sparse matching (detector-based)
- Keypoints and descriptors
- Feature matching
Semi-dense matching (detector-free)
Dense matching
Training framework
Pose estimation and others
Similar images disambiguate
Datasets
Challenges and workshops
Resources and toolboxes

Survey

Local Feature Matching Using Deep Learning: A Survey [arXiv 2024] []
Local feature matching from detector-based to detector-free: a survey [Applied Intelligence 2024] [] ()

Sparse

Keypoints and descriptors

ORB: An efficient alternative to SIFT or SURF [ICCV 2011] []
🌐 SPHORB: A Fast and Robust Binary Feature on the Sphere [IJCV 2015] [SPHORB]
Working hard to know your neighbor's margins: Local descriptor learning loss [NeurIPS 2017] [hardnet]
Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability [ECCV 2018] [affnet]
Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution [Pattern Recognition Letters 2018] [ANMS-Codes]
SuperPoint: Self-Supervised Interest Point Detection and Description [CVPRW 2018] [SuperPointPretrainedNetwork]
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters [ICCV 2019] [Key.Net-Pytorch]
D2-net: A trainable cnn for joint description and detection of local features [CVPR 2019] [d2-net]
R2D2: Repeatable and Reliable Detector and Descriptor [NeurIPS 2019] [r2d2]
ASLFeat: Learning Local Features of Accurate Shape and Localization [CVPR 2020] [ASLFeat]
DISK: Learning local features with policy gradient [NeurIPS 2020] [disk]
Online Invariance Selection for Local Feature Descriptors [ECCV 2020] [LISRD]
Co-attention for conditioned image matching [CVPR 2021] [coam]
Rethinking Low-level Features for Interest Point Detection and Description [ACCVC 2022] [lanet]
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction [TMM 2022] [ALIKE]
Decoupling Makes Weakly Supervised Local Feature Better [CVPR 2022] [PoSFeat]
Shared Coupling-bridge for Weakly Supervised Local Feature Learning [arXiv 2022] [SCFeat]
Self-Supervised Equivariant Learning for Oriented Keypoint Detection [CVPR 2022] [REKD]
Image Matching and Localization Based on Fusion of Handcrafted and Deep Features [IEEE Sensors Journal 2023] [DeFusion]
Robust feature matching via progressive smoothness consensus [ISPRS 2023] [Robust-feature-matching-via-Progressive-Smoothness-Consensus]
SiLK: Simple Learned Keypoints [ICCV 2023] [silk]
ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation [IEEE Trans Instrum Meas 2023] [ALIKED]
MTLDesc: Looking Wider to Describe Better [AAAI 2022] [mtldesc]
Attention Weighted Local Descriptors [TPAMI 2023] [AWDesc]
FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network [CVPR 2023] [FeatureBooster]
SFD2: Semantic-guided Feature Detection and Description [arXiv 2023] [sfd2]
🌐 PanoPoint: Self-Supervised Feature Points Detection and Description for 360° Panorama [CVPRW 2023] []
DeDoDe: Detect, Don't Describe -- Describe, Don't Detect for Local Feature Matching [3DV 2024] [DeDoDe]
S-TREK: Sequential Translation and Rotation Equivariant Keypoints for local feature extraction [ICCV 2023] []
DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images [AAAI 2023] [DarkFeat]
Steerers: A framework for rotation equivariant keypoint descriptors [arXiv 2023] [rotation-steerers]
NeRF-Supervised Feature Point Detection and Description [arXiv 2024] []
DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector [CVPRW 2024] [DeDoDe]
XFeat: Accelerated Features for Lightweight Image Matching [CVPR 2024] [accelerated_features]

Feature matching

Filter

GMS: Grid-based Motion Statistics for Fast, Ultra-Robust Feature Correspondence [IJCV 2020] [GMS-Feature-Matcher]
Learning Two-View Correspondences and Geometry Using Order-Aware Network [ICCV 2019] [OANet]
Learning to Find Good Correspondences [CVPR 2018] [learned-correspondence-release]
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning [CVPR 2020] [acne]
Progressive Correspondence Pruning by Consensus Learning [ICCV 2021] [CLNet]
PGFNet: Preference-Guided Filtering Network for Two-View Correspondence Learning [TIP 2023] [PGFNet]
Pentagon-Match (PMatch): Identification of View-Invariant Planar Feature for Local Feature Matching-Based Homography Estimation [arXiv 2023] []
ConvMatch: Rethinking Network Design for Two-View Correspondence Learning [AAAI 2023] [ConvMatch]
Progressive Neighbor Consistency Mining for Correspondence Pruning [CVPR 2023] [NCMNet]
A more reliable local-global-guided network for correspondence pruning [Pattern Recognition Letters 2024] [LG-Net]
MESA: Matching Everything by Segmenting Anything [arXiv 2024] []

Matcher

SuperGlue: Learning Feature Matching with Graph Neural Networks [CVPR 2020] [SuperGluePretrainedNetwork]
Learning to Match Features with Seeded Graph Matching Network [ICCV 2021] [SGMNet]
NCTR: Neighborhood Consensus Transformer for Feature Matching [ICIP 2022] [NCTR]
HTMatch: An efficient Hybrid Transformer based Graph Neural Network for Local Feature Matching [Signal Processing 2023] []
ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching [CVPR 2022] []
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching [arXiv 2023] []
AMatFormer: Efficient Feature Matching via Anchor Matching Transformer [TMM 2023] []
🌐 SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images [CVPRW 2023] [SphereGlue]
LightGlue: Local Feature Matching at Light Speed [ICCV 2023] [LightGlue]
ResMatch: Residual Attention Learning for Local Feature Matching [AAAI 2024] [ResMatch]
SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning [AAAI 2024] [SDGMNet]
Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network [arXiv 2023] []
IMP: Iterative Matching and Pose Estimation with Adaptive Pooling [CVPR 2023] [imp-release]
Scene-Aware Feature Matching [ICCV_2023] []
DynamicGlue: Epipolar and Time-Informed Data Association in Dynamic Environments using Graph Neural Networks [arXiv 2024] []
OmniGlue: Generalizable Feature Matching with Foundation Model Guidance [CVPR 2024] [omniglue]

Semi-dense

Neighbourhood Consensus Networks [NeurIPS 2018] []
Efficient neighbourhood consensus networks via submanifold sparse convolutions [ECCV 2020] [sparse-ncnet]
Dual-resolution correspondence networks [NeurIPS 2020] []
XResolution Correspondence Network [BMVC 2021] [xrcnet]
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences [CVPR 2021] [patch2pix]
DFM: A Performance Baseline for Deep Feature Matching [CVPR 2021] [DFM]
LoFTR: Detector-Free Local Feature Matching with Transformers [CVPR 2021] [LoFTR]
A case for using rotation invariant features in state of the art feature matchers [CVPRW 2022] [se2-loftr]
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching [ECCV 2022] [3DG-STFM]
Local Feature Matching with Transformers for low-end devices [arXiv 2022] [Coarse_LoFTR_TRT]
QuadTree Attention for Vision Transformers [ICLR 2022] [QuadTreeAttention]
MatchFormer: Interleaving Attention in Transformers for Feature Matching [ACCV 2022] [MatchFormer]
ASpanFormer: Detector-Free Matching with Adaptive Span Transformer [ECCV 2022] [ml-aspanformer]
TopicFM: Robust and Interpretable Topic-Assisted Feature Matching [AAAI 2023] [TopicFM]
DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching [arXiv 2023] [DeepMatcher]
OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature Matching [arXiv 2023] [OAMatcher]
PATS: Patch Area Transportation with Subdivision for Local Feature Matching [CVPR 2023] [pats]
PA-LoFTR: Local Feature Matching with 3D Position-Aware Transformer [arXiv 2023] []
Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative Keypoints [arXiv 2023] []
Structured Epipolar Matcher for Local Feature Matching [CVPR 2023] [SEM]
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching [CVPR 2023] [astr]
GlueStick: Robust Image Matching by Sticking Points and Lines Together [ICCV 2023] [GlueStick]
E3CM: Epipolar-Constrained Cascade Correspondence Matching [ssrn] []
MAIM: a mixer MLP architecture for image matching [Unknown 2023] []
Searching from Area to Point: A Hierarchical Framework for Semantic-Geometric Combined Feature Matching [arXiv 2023] []
Adaptive Assignment for Geometry Aware Local Feature Matching [CVPR 2023] [AdaMatcher]
TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature Matching [arXiv 2023] [TopicFM]
TKwinFormer: Top k Window Attention in Vision Transformers for Feature Matching [arXiv 2023] [TKwinFormer]
Occ2Net: Robust Image Matching Based on 3D Occupancy Estimation for Occluded Regions [ICCV 2023] []
FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer [arXiv 2023] []
SAM-Net: Self-Attention based Feature Matching with Spatial transformers and Knowledge Distillation [ESWA 2023] [SAM-Net]
Are Semi-Dense Detector-Free Methods Good at Matching Local Features ? [arXiv 2024] []
Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed [CVPR 2024] [efficientloftr]
HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matching [arXiv 2024] []

Dense

Dgc-net: Dense geometric correspondence network [WACV 2019] [DGC-Net]
Ransac-flow: generic two-stage image alignment [ECCV 2020] [RANSAC-Flow]
GLU-Net: Global-local universal network for dense flow and correspondences [CVPR 2020] [GLU-Net]
DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points [ICPR 2022] [DenseGAP]
Learning accurate dense correspondences and when to trust them [CVPR 2021] [PDCNet]
Pdc-net+: Enhanced probabilistic dense correspondence network [TPAMI 2023] [DenseMatching]
COTR: Correspondence Transformer for Matching Across Images [ICCV 2021] [COTR]
ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement [ECCV 2022] [ECO-TR]
PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised Learning of Local Descriptors [CVPR 2022] [pump]
DKM: Dense Kernelized Feature Matching for Geometry Estimation [CVPR 2023] [DKM]
PMatch: Paired Masked Image Modeling for Dense Geometric Matching [CVPR 2023] [PMatch]
RoMa: Revisiting Robust Losses for Dense Feature Matching [CVPR 2024] [RoMa]
RGM: A Robust Generalist Matching Model [arXiv 2023] [RGM]

Training framework

GIM: Learning Generalizable Image Matcher From Internet Videos [ICLR 2024] [gim]

Pose estimation and others

🌐 Structure from motion using full spherical panoramic cameras [ICCVW 2011] []
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization [ICCV 2015] [PoseNet]
Geometric loss functions for camera pose regression with deep learning [CVPR 2017] []
Relative Camera Pose Estimation Using Convolutional Neural Networks [ACIVS 2017] [relativeCameraPose]
DSAC - Differentiable RANSAC for Camera Localization [CVPR 2017] [DSAC]
Generalized Differentiable RANSAC [arXiv 2022] [differentiable_ransac]
RPNet: an End-to-End Network for Relative Camera Pose Estimation [ECCVW 2018] [RPNet]
Camera relocalization by computing pairwise relative poses using convolutional neural network [ICCVW 2017] [RelPoseNet]
Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints [IROS 2020] [pytorch-deepFEPE]
Wide-Baseline Relative Camera Pose Estimation with Directional Learning [CVPR 2021] [DirectionNet]
Learning single and multi-scene camera pose regression with transformer encoders [Computer Vision and Image Understanding 2024] [transposenet]
🌐 Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images [ICRA 2021] [robust_360_8PA]
🌐 Pose Estimation for Two-View Panoramas: a Comparative Analysis [CVPRW 2022] [Keypoints]
The 8-Point Algorithm as an Inductive Bias for Relative Pose Prediction by ViTs [3DV 2022] [rel_pose]
End2End Multi-View Feature Matching with Differentiable Pose Optimization [ICCV 2023] [e2e_multi_view_matching]
🌐 CoVisPose: Co-visibility Pose Transformer for Wide-Baseline Relative Pose Estimation in 360 Indoor Panoramas [ECCV 2022] []
Map-free Visual Relocalization: Metric Pose Relative to a Single Image [ECCV 2022] [map-free-reloc]
🌐 GPR-Net: Multi-view Layout Estimation via a Geometry-aware Panorama Registration Network [arXiv 2022] []
RelMobNet: End-to-end relative camera pose estimation using a robust two-stage training [arXiv 2022] []
GRelPose: Generalizable End-to-End Relative Camera Pose Regression [arXiv 2022] [GRelPose]
A Lightweight Domain Adaptive Absolute Pose Regressor Using BARLOW TWINS Objective [arXiv 2022] []
Uncertainty-Driven Dense Two-View Structure from Motion [arXiv 2023] []
CGA-PoseNet: Camera Pose Regression via a 1D-Up Approach to Conformal Geometric Algebra [arXiv 2023] []
🌐 Graph-CoVis: GNN-based Multi-view Panorama Global Pose Estimation [arXiv 2023] []
Map-Relative Pose Regression for Visual Re-Localization [CVPR 2024] [marepo]

Similar images disambiguate

Doppelgangers: Learning to Disambiguate Images of Similar Structures [ICCV 2023] [Doppelgangers]

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image-matching-paper-list's Introduction

Image-Matching-Paper-List

Survey

Sparse

Keypoints and descriptors

Feature matching

Filter

Matcher

Semi-dense

Dense

Training framework

Pose estimation and others

Similar images disambiguate

Datasets

Challenges and workshops

Resources and toolboxes

image-matching-paper-list's People

Contributors

Stargazers

Watchers

Forkers

image-matching-paper-list's Issues

Traditional Homography Method (perhaps 'Semi-dense'?)

Deep Homography Methods (perhaps 'Semi-dense'?)

Deep Optical Flow Methods (Dense?)

Datasets

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