Image-Matching-Paper-List

A personal list of papers and resources for image matching and pose estimation, including perspective images and panoramas (marked with 🌐).

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• Sparse matching (detector-based)
  • Keypoints and descriptors
  • Feature matching
• Semi-dense matching (detector-free)
• Dense matching
• Pose estimation and others
• Datasets
• Challenges and workshops
• Resources

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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]

• 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]

• 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 [CVPR 2023] []

• DeDoDe: Detect, Don't Describe -- Describe, Don't Detect for Local Feature Matching [arXiv 2023] [DeDoDe]

• S-TREK: Sequential Translation and Rotation Equivariant Keypoints for local feature extraction [arXiv 2023] []

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]

• 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] []

Matcher

• SuperGlue: Learning Feature Matching with Graph Neural Networks [CVPR 2020] [SuperGluePretrainedNetwork]

• Learning to Match Features with Seeded Graph Matching Network [ICCV 2021] [SGMNet]

• ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching [CVPR 2022] []

• 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 [arXiv 2023] [ResMatch]

• IMP: Iterative Matching and Pose Estimation with Adaptive Pooling [CVPR 2023] [imp-release]

• Scene-Aware Feature Matching [arXiv 2023] []

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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 [arXiv 2023] []

• 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 [arXiv 2023] []

• Adaptive Spot-Guided Transformer for Consistent Local Feature Matching [arXiv 2023] [astr]

• GlueStick: Robust Image Matching by Sticking Points and Lines Together [arXiv 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]

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 [arXiv 2021] [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 [arXiv 2023] [RoMa]

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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]

• 🌐 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 using Differentiable Pose Optimization [arXiv 2022] []

• 🌐 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] []

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Datasets

• HPatches
• YFCC100M
• MegaDepth
• ScanNet
• 🌐 Matterport3D
• 🌐 Zillow Indoor Dataset (ZInD)

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Challenges and workshops

• Image Matching Challenge 2023
• Image Matching Challenge 2022
• Image Matching Challenge 2021
• Image Matching Challenge 2020
• Image Matching Challenge 2019
• Image Matching: Local Features and Beyond workshop at CVPR
• 🌐 Omnidirectional Computer Vision workshop at CVPR

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Resources

• image-matching-webui

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Format:

• Title [journal year] [repo]