{"total":113,"rows":[{"id":"2104.00680","title":"LoFTR: Detector-Free Local Feature Matching with Transformers","created":"2021-04-01","cited_by_count":984,"area":null},{"id":"2406.09756","title":"Grounding Image Matching in 3D with MASt3R","created":"2024-06-14","cited_by_count":983,"area":null},{"id":"2305.15404","title":"RoMa: Robust Dense Feature Matching","created":"2023-05-24","cited_by_count":302,"area":null},{"id":"2305.15347","title":"A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence","created":"2023-05-24","cited_by_count":301,"area":"diffusion"},{"id":"2108.08291","title":"Pixel-Perfect Structure-from-Motion with Featuremetric Refinement","created":"2021-08-18","cited_by_count":200,"area":null},{"id":"2211.11738","title":"SPARF: Neural Radiance Fields from Sparse and Noisy Poses","created":"2022-11-21","cited_by_count":195,"area":null},{"id":"2306.05422","title":"Tracking Everything Everywhere All at Once","created":"2023-06-08","cited_by_count":193,"area":null},{"id":"2208.04726","title":"Deep Patch Visual Odometry","created":"2022-08-08","cited_by_count":190,"area":null},{"id":"2202.00667","title":"DKM: Dense Kernelized Feature Matching for Geometry Estimation","created":"2022-02-01","cited_by_count":177,"area":null},{"id":"2208.14201","title":"ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer","created":"2022-08-30","cited_by_count":171,"area":null},{"id":"2403.04765","title":"Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed","created":"2024-03-07","cited_by_count":120,"area":null},{"id":"2207.07078","title":"Towards Grand Unification of Object Tracking","created":"2022-07-14","cited_by_count":93,"area":null},{"id":"2203.01913","title":"NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields","created":"2022-03-03","cited_by_count":86,"area":null},{"id":"2311.17034","title":"Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence","created":"2023-11-28","cited_by_count":86,"area":null},{"id":"2109.13912","title":"PDC-Net+: Enhanced Probabilistic Dense Correspondence Network","created":"2021-09-28","cited_by_count":80,"area":null},{"id":"2407.15420","title":"Local All-Pair Correspondence for Point Tracking","created":"2024-07-22","cited_by_count":80,"area":null},{"id":"2106.02520","title":"CATs: Cost Aggregation Transformers for Visual Correspondence","created":"2021-06-04","cited_by_count":77,"area":null},{"id":"2306.15669","title":"Detector-Free Structure from Motion","created":"2023-06-27","cited_by_count":71,"area":null},{"id":"2304.02008","title":"GlueStick: Robust Image Matching by Sticking Points and Lines Together","created":"2023-04-04","cited_by_count":66,"area":null},{"id":"2405.12979","title":"OmniGlue: Generalizable Feature Matching with Foundation Model Guidance","created":"2024-05-21","cited_by_count":56,"area":null},{"id":"2202.06817","title":"CATs++: Boosting Cost Aggregation with Convolutions and Transformers","created":"2022-02-14","cited_by_count":53,"area":null},{"id":"2305.14330","title":"DirecT2V: Large Language Models are Frame-Level Directors for Zero-Shot Text-to-Video Generation","created":"2023-05-23","cited_by_count":49,"area":null},{"id":"2507.16290","title":"Dens3R: A Foundation Model for 3D Geometry Prediction","created":"2025-07-22","cited_by_count":46,"area":null},{"id":"2501.07556","title":"MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training","created":"2025-01-13","cited_by_count":41,"area":null},{"id":"2302.08788","title":"MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs","created":"2023-02-17","cited_by_count":40,"area":null},{"id":"2506.09278","title":"UFM: A Simple Path towards Unified Dense Correspondence with Flow","created":"2025-06-10","cited_by_count":36,"area":null},{"id":"2105.07809","title":"Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report","created":"2021-05-17","cited_by_count":34,"area":null},{"id":"2412.17806","title":"Reconstructing People, Places, and Cameras","created":"2024-12-23","cited_by_count":31,"area":null},{"id":"2506.17220","title":"Emergent Temporal Correspondences from Video Diffusion Transformers","created":"2025-06-20","cited_by_count":31,"area":"diffusion"},{"id":"2203.04279","title":"Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences","created":"2022-03-08","cited_by_count":30,"area":null},{"id":"2207.08427","title":"Adaptive Assignment for Geometry Aware Local Feature Matching","created":"2022-07-18","cited_by_count":30,"area":null},{"id":"2412.09072","title":"Cross-View Completion Models are Zero-shot Correspondence Estimators","created":"2024-12-12","cited_by_count":30,"area":null},{"id":"2303.17342","title":"PMatch: Paired Masked Image Modeling for Dense Geometric Matching","created":"2023-03-30","cited_by_count":29,"area":null},{"id":"2304.14845","title":"SFD2: Semantic-guided Feature Detection and Description","created":"2023-04-28","cited_by_count":28,"area":null},{"id":"2207.07932","title":"Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching","created":"2022-07-16","cited_by_count":27,"area":null},{"id":"2401.17592","title":"Local Feature Matching Using Deep Learning: A Survey","created":"2024-01-31","cited_by_count":26,"area":null},{"id":"2404.06337","title":"Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences","created":"2024-04-09","cited_by_count":26,"area":null},{"id":"2305.19094","title":"Diffusion Model for Dense Matching","created":"2023-05-30","cited_by_count":21,"area":"diffusion"},{"id":"2209.12213","title":"ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement","created":"2022-09-25","cited_by_count":18,"area":null},{"id":"2112.11685","title":"Cost Aggregation Is All You Need for Few-Shot Segmentation","created":"2021-12-22","cited_by_count":16,"area":null},{"id":"2110.15904","title":"Learning Co-segmentation by Segment Swapping for Retrieval and Discovery","created":"2021-10-29","cited_by_count":15,"area":null},{"id":"2303.02885","title":"Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative Keypoints","created":"2023-03-06","cited_by_count":15,"area":null},{"id":"2312.00836","title":"Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration","created":"2023-12-01","cited_by_count":14,"area":null},{"id":"2403.11120","title":"Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence","created":"2024-03-17","cited_by_count":14,"area":null},{"id":"2211.03885","title":"Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report","created":"2022-11-07","cited_by_count":13,"area":null},{"id":"2211.06770","title":"MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning","created":"2022-11-08","cited_by_count":13,"area":null},{"id":"2403.16885","title":"CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs","created":"2024-03-25","cited_by_count":13,"area":null},{"id":"2112.04846","title":"ScaleNet: A Shallow Architecture for Scale Estimation","created":"2021-12-09","cited_by_count":12,"area":null},{"id":"2403.11503","title":"Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors","created":"2024-03-18","cited_by_count":12,"area":"diffusion"},{"id":"2503.23925","title":"CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching","created":"2025-03-31","cited_by_count":12,"area":null},{"id":"2306.01596","title":"Two-View Geometry Scoring Without Correspondences","created":"2023-06-02","cited_by_count":11,"area":null},{"id":"2404.10700","title":"Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs","created":"2024-04-16","cited_by_count":11,"area":null},{"id":"2212.02763","title":"Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint","created":"2022-12-06","cited_by_count":10,"area":null},{"id":"2301.10018","title":"GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning","created":"2023-01-23","cited_by_count":10,"area":null},{"id":"2308.07118","title":"Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases","created":"2023-08-14","cited_by_count":10,"area":null},{"id":"2403.12038","title":"Zero-Shot Image Feature Consensus with Deep Functional Maps","created":"2024-03-18","cited_by_count":10,"area":null},{"id":"2412.03570","title":"Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis","created":"2024-12-04","cited_by_count":9,"area":null},{"id":"2112.06910","title":"DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points","created":"2021-12-13","cited_by_count":8,"area":null},{"id":"2206.04879","title":"Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label Diffusion","created":"2022-06-10","cited_by_count":8,"area":null},{"id":"2212.09735","title":"Correspondence Distillation from NeRF-based GAN","created":"2022-12-19","cited_by_count":8,"area":null},{"id":"2211.06263","title":"PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks","created":"2022-11-08","cited_by_count":7,"area":null},{"id":"2502.20685","title":"EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matching","created":"2025-02-28","cited_by_count":7,"area":null},{"id":"2504.01872","title":"CoMatcher: Multi-View Collaborative Feature Matching","created":"2025-04-02","cited_by_count":7,"area":null},{"id":"2506.04619","title":"Deep Learning Reforms Image Matching: A Survey and Outlook","created":"2025-06-05","cited_by_count":7,"area":null},{"id":"2209.08742","title":"Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence","created":"2022-09-19","cited_by_count":6,"area":null},{"id":"2211.14950","title":"Leveraging Image Matching Toward End-to-End Relative Camera Pose Regression","created":"2022-11-27","cited_by_count":6,"area":null},{"id":"2307.15353","title":"Supervised Homography Learning with Realistic Dataset Generation","created":"2023-07-28","cited_by_count":6,"area":null},{"id":"2404.10603","title":"CorrespondentDream: Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences","created":"2024-04-16","cited_by_count":6,"area":"diffusion"},{"id":"2408.09144","title":"SSNeRF: Sparse View Semi-supervised Neural Radiance Fields with Augmentation","created":"2024-08-17","cited_by_count":6,"area":null},{"id":"2408.14186","title":"Affine steerers for structured keypoint description","created":"2024-08-26","cited_by_count":6,"area":null},{"id":"2503.02230","title":"Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views","created":"2025-03-04","cited_by_count":6,"area":null},{"id":"2109.12925","title":"HarrisZ$^+$: Harris Corner Selection for Next-Gen Image Matching Pipelines","created":"2021-09-27","cited_by_count":5,"area":null},{"id":"2305.08946","title":"Image Matching by Bare Homography","created":"2023-05-15","cited_by_count":5,"area":null},{"id":"2307.12909","title":"Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fields","created":"2023-07-24","cited_by_count":5,"area":null},{"id":"2308.08137","title":"SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile Device","created":"2023-08-16","cited_by_count":5,"area":null},{"id":"2309.15329","title":"BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fields","created":"2023-09-27","cited_by_count":5,"area":null},{"id":"2209.08896","title":"NeuralMarker: A Framework for Learning General Marker Correspondence","created":"2022-09-19","cited_by_count":4,"area":null},{"id":"2402.16407","title":"CMC: Few-shot Novel View Synthesis via Cross-view Multiplane Consistency","created":"2024-02-26","cited_by_count":4,"area":null},{"id":"2203.15362","title":"Domain Invariant Siamese Attention Mask for Small Object Change Detection via Everyday Indoor Robot Navigation","created":"2022-03-29","cited_by_count":3,"area":null},{"id":"2302.00523","title":"Uncertainty-Driven Dense Two-View Structure from Motion","created":"2023-02-01","cited_by_count":3,"area":null},{"id":"2306.04231","title":"Learning Probabilistic Coordinate Fields for Robust Correspondences","created":"2023-06-07","cited_by_count":3,"area":null},{"id":"2310.11755","title":"RGM: A Robust Generalizable Matching Model","created":"2023-10-18","cited_by_count":3,"area":null},{"id":"2410.10453","title":"Self-Assessed Generation: Trustworthy Label Generation for Optical Flow and Stereo Matching in Real-world","created":"2024-10-14","cited_by_count":3,"area":null},{"id":"2502.12545","title":"IM360: Large-scale Indoor Mapping with 360 Cameras","created":"2025-02-18","cited_by_count":3,"area":null},{"id":"2505.10420","title":"Learned Lightweight Smartphone ISP with Unpaired Data","created":"2025-05-15","cited_by_count":3,"area":null},{"id":"2212.14276","title":"Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects","created":"2022-12-29","cited_by_count":2,"area":null},{"id":"2306.16086","title":"Lifelong Change Detection: Continuous Domain Adaptation for Small Object Change Detection in Every Robot Navigation","created":"2023-06-28","cited_by_count":2,"area":null},{"id":"2404.08135","title":"SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations","created":"2024-04-11","cited_by_count":2,"area":null},{"id":"2406.05773","title":"Scalable and Generalizable Correspondence Pruning via Geometry-Consistent Pre-training","created":"2024-06-09","cited_by_count":2,"area":null},{"id":"2507.08400","title":"PanMatch: Unleashing the Potential of Large Vision Models for Unified Matching Models","created":"2025-07-11","cited_by_count":2,"area":null},{"id":"2510.16438","title":"LightGlueStick: a Fast and Robust Glue for Joint Point-Line Matching","created":"2025-10-18","cited_by_count":2,"area":null},{"id":"2604.13941","title":"SceneGlue: Scene-Aware Transformer for Feature Matching without Scene-Level Annotation","created":"2026-04-15","cited_by_count":2,"area":null},{"id":"2605.17837","title":"Temporal Aware Pruning for Efficient Diffusion-based Video Generation","created":"2026-05-18","cited_by_count":2,"area":"diffusion"},{"id":"2311.17571","title":"LGFCTR: Local and Global Feature Convolutional Transformer for Image Matching","created":"2023-11-29","cited_by_count":1,"area":null},{"id":"2402.08671","title":"Are Semi-Dense Detector-Free Methods Good at Matching Local Features?","created":"2024-02-13","cited_by_count":1,"area":null},{"id":"2404.00992","title":"SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance","created":"2024-04-01","cited_by_count":1,"area":null},{"id":"2503.17938","title":"Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence Learning","created":"2025-03-23","cited_by_count":1,"area":"ssm"},{"id":"2503.21820","title":"UFM: Unified Feature Matching Pre-training with Multi-Modal Image Assistants","created":"2025-03-26","cited_by_count":1,"area":null},{"id":"2509.08805","title":"Handling Multiple Hypotheses in Coarse-to-Fine Dense Image Matching","created":"2025-09-10","cited_by_count":1,"area":null},{"id":"2603.04869","title":"SURE: Semi-dense Uncertainty-REfined Feature Matching","created":"2026-03-05","cited_by_count":1,"area":null}],"next_cursor":"100"}