{"total":107,"rows":[{"id":"2212.06870","title":"MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare","created":"2022-12-13","cited_by_count":201,"area":null},{"id":"2102.12145","title":"GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator","created":"2021-02-24","cited_by_count":148,"area":null},{"id":"2103.02242","title":"FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation","created":"2021-03-03","cited_by_count":144,"area":null},{"id":"2204.10776","title":"Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images","created":"2022-04-22","cited_by_count":121,"area":null},{"id":"2203.09418","title":"ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation","created":"2022-03-17","cited_by_count":116,"area":null},{"id":"2311.18809","title":"FoundPose: Unseen Object Pose Estimation with Foundation Features","created":"2023-11-30","cited_by_count":109,"area":null},{"id":"2208.05963","title":"RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild","created":"2022-08-11","cited_by_count":102,"area":null},{"id":"2203.07918","title":"GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting","created":"2022-03-15","cited_by_count":94,"area":null},{"id":"2108.08367","title":"SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation","created":"2021-08-18","cited_by_count":88,"area":null},{"id":"2203.15533","title":"OSOP: A Multi-Stage One Shot Object Pose Estimation Framework","created":"2022-03-29","cited_by_count":81,"area":null},{"id":"2303.12787","title":"EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation","created":"2023-03-22","cited_by_count":79,"area":null},{"id":"2108.08755","title":"Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks","created":"2021-08-19","cited_by_count":69,"area":null},{"id":"2104.00633","title":"RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering","created":"2021-04-01","cited_by_count":63,"area":null},{"id":"2203.04802","title":"NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation","created":"2022-03-09","cited_by_count":58,"area":null},{"id":"2106.14193","title":"SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation","created":"2021-06-27","cited_by_count":53,"area":null},{"id":"2104.00337","title":"Wide-Depth-Range 6D Object Pose Estimation in Space","created":"2021-04-01","cited_by_count":45,"area":null},{"id":"2208.00237","title":"RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation","created":"2022-07-30","cited_by_count":43,"area":null},{"id":"2109.06161","title":"Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image","created":"2021-09-13","cited_by_count":42,"area":null},{"id":"2101.12378","title":"NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation","created":"2021-01-29","cited_by_count":41,"area":null},{"id":"2208.06661","title":"SSP-Pose: Symmetry-Aware Shape Prior Deformation for Direct Category-Level Object Pose Estimation","created":"2022-08-13","cited_by_count":41,"area":null},{"id":"2405.07801","title":"Deep Learning-Based Object Pose Estimation: A Comprehensive Survey","created":"2024-05-13","cited_by_count":40,"area":null},{"id":"2203.12870","title":"RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization","created":"2022-03-24","cited_by_count":38,"area":null},{"id":"2105.10620","title":"HPNet: Deep Primitive Segmentation Using Hybrid Representations","created":"2021-05-22","cited_by_count":36,"area":null},{"id":"2203.10339","title":"Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation","created":"2022-03-19","cited_by_count":34,"area":null},{"id":"2104.09359","title":"Single-view robot pose and joint angle estimation via render & compare","created":"2021-04-19","cited_by_count":33,"area":null},{"id":"2203.09836","title":"Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation","created":"2022-03-18","cited_by_count":32,"area":null},{"id":"2207.02805","title":"DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation","created":"2022-07-06","cited_by_count":32,"area":null},{"id":"2105.14291","title":"Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview","created":"2021-05-29","cited_by_count":31,"area":null},{"id":"2204.01586","title":"Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image","created":"2022-04-04","cited_by_count":30,"area":null},{"id":"2105.10886","title":"VS-Net: Voting with Segmentation for Visual Localization","created":"2021-05-23","cited_by_count":29,"area":null},{"id":"2108.13499","title":"Scene Synthesis via Uncertainty-Driven Attribute Synchronization","created":"2021-08-30","cited_by_count":29,"area":null},{"id":"2207.08082","title":"CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement","created":"2022-07-17","cited_by_count":29,"area":null},{"id":"2401.00029","title":"6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation","created":"2023-12-29","cited_by_count":24,"area":null},{"id":"2203.14531","title":"Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation","created":"2022-03-28","cited_by_count":22,"area":null},{"id":"2307.12172","title":"Challenges for Monocular 6D Object Pose Estimation in Robotics","created":"2023-07-22","cited_by_count":21,"area":null},{"id":"2110.04792","title":"6D-ViT: Category-Level 6D Object Pose Estimation via Transformer-based Instance Representation Learning","created":"2021-10-10","cited_by_count":20,"area":null},{"id":"2111.10524","title":"ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation","created":"2021-11-20","cited_by_count":20,"area":null},{"id":"2306.07598","title":"Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images","created":"2023-06-13","cited_by_count":18,"area":null},{"id":"2102.09334","title":"StablePose: Learning 6D Object Poses from Geometrically Stable Patches","created":"2021-02-18","cited_by_count":17,"area":null},{"id":"2108.09916","title":"PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation","created":"2021-08-23","cited_by_count":17,"area":null},{"id":"2204.05145","title":"Focal Length and Object Pose Estimation via Render and Compare","created":"2022-04-11","cited_by_count":17,"area":null},{"id":"2208.02129","title":"SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation","created":"2022-08-03","cited_by_count":17,"area":null},{"id":"2112.03810","title":"Polarimetric Pose Prediction","created":"2021-12-07","cited_by_count":16,"area":null},{"id":"2308.05438","title":"Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation","created":"2023-08-10","cited_by_count":16,"area":null},{"id":"2303.16874","title":"CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network","created":"2023-03-29","cited_by_count":15,"area":null},{"id":"2104.03658","title":"DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency","created":"2021-04-08","cited_by_count":14,"area":null},{"id":"2409.15727","title":"LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation","created":"2024-09-24","cited_by_count":14,"area":null},{"id":"2204.09983","title":"DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation","created":"2022-04-21","cited_by_count":12,"area":null},{"id":"2204.09429","title":"HRPose: Real-Time High-Resolution 6D Pose Estimation Network Using Knowledge Distillation","created":"2022-04-20","cited_by_count":11,"area":null},{"id":"2310.00463","title":"Diff-DOPE: Differentiable Deep Object Pose Estimation","created":"2023-09-30","cited_by_count":11,"area":null},{"id":"2403.08019","title":"MRC-Net: 6-DoF Pose Estimation with MultiScale Residual Correlation","created":"2024-03-12","cited_by_count":11,"area":null},{"id":"2409.18261","title":"Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation","created":"2024-09-26","cited_by_count":11,"area":null},{"id":"2111.03821","title":"ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking","created":"2021-11-06","cited_by_count":10,"area":null},{"id":"2208.08807","title":"COPE: End-to-end trainable Constant Runtime Object Pose Estimation","created":"2022-08-18","cited_by_count":10,"area":null},{"id":"2301.13667","title":"Collision-aware In-hand 6D Object Pose Estimation using Multiple Vision-based Tactile Sensors","created":"2023-01-31","cited_by_count":10,"area":null},{"id":"2109.10127","title":"KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation","created":"2021-09-21","cited_by_count":9,"area":null},{"id":"2112.08775","title":"DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation","created":"2021-12-16","cited_by_count":9,"area":null},{"id":"2210.05232","title":"DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation","created":"2022-10-11","cited_by_count":9,"area":null},{"id":"2207.02811","title":"Multi-View Object Pose Refinement With Differentiable Renderer","created":"2022-07-06","cited_by_count":8,"area":null},{"id":"2204.05864","title":"Semantic keypoint-based pose estimation from single RGB frames","created":"2022-04-12","cited_by_count":7,"area":null},{"id":"2208.09122","title":"Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian","created":"2022-08-19","cited_by_count":7,"area":null},{"id":"2110.11636","title":"Occlusion-Robust Object Pose Estimation with Holistic Representation","created":"2021-10-22","cited_by_count":6,"area":null},{"id":"2306.15858","title":"Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of In-hand Objects","created":"2023-06-28","cited_by_count":6,"area":null},{"id":"2312.08054","title":"Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence","created":"2023-12-13","cited_by_count":6,"area":null},{"id":"2503.15110","title":"GIVEPose: Gradual Intra-class Variation Elimination for RGB-based Category-Level Object Pose Estimation","created":"2025-03-19","cited_by_count":6,"area":null},{"id":"2202.11891","title":"HMD-EgoPose: Head-Mounted Display-Based Egocentric Marker-Less Tool and Hand Pose Estimation for Augmented Surgical Guidance","created":"2022-02-24","cited_by_count":5,"area":null},{"id":"2210.13540","title":"Video based Object 6D Pose Estimation using Transformers","created":"2022-10-24","cited_by_count":5,"area":null},{"id":"2402.05610","title":"Extending 6D Object Pose Estimators for Stereo Vision","created":"2024-02-08","cited_by_count":5,"area":null},{"id":"2405.08483","title":"RDPN6D: Residual-based Dense Point-wise Network for 6Dof Object Pose Estimation Based on RGB-D Images","created":"2024-05-14","cited_by_count":5,"area":null},{"id":"2206.07162","title":"Category-Agnostic 6D Pose Estimation with Conditional Neural Processes","created":"2022-06-14","cited_by_count":4,"area":null},{"id":"2208.08338","title":"SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation","created":"2022-08-17","cited_by_count":4,"area":null},{"id":"2201.13065","title":"Rigidity Preserving Image Transformations and Equivariance in Perspective","created":"2022-01-31","cited_by_count":3,"area":null},{"id":"2201.13278","title":"Combining Local and Global Pose Estimation for Precise Tracking of Similar Objects","created":"2022-01-31","cited_by_count":3,"area":null},{"id":"2205.03536","title":"BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation","created":"2022-05-07","cited_by_count":3,"area":null},{"id":"2312.02985","title":"FocalPose++: Focal Length and Object Pose Estimation via Render and Compare","created":"2023-11-15","cited_by_count":3,"area":null},{"id":"2404.00891","title":"Marrying NeRF with Feature Matching for One-step Pose Estimation","created":"2024-04-01","cited_by_count":3,"area":null},{"id":"2510.10177","title":"HccePose(BF): Predicting Front & Back Surfaces to Construct Ultra-Dense 2D-3D Correspondences for Pose Estimation","created":"2025-10-11","cited_by_count":3,"area":null},{"id":"2210.05318","title":"CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation","created":"2022-10-11","cited_by_count":2,"area":null},{"id":"2302.11827","title":"Open Challenges for Monocular Single-shot 6D Object Pose Estimation","created":"2023-02-23","cited_by_count":2,"area":null},{"id":"2409.11819","title":"End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation","created":"2024-09-18","cited_by_count":2,"area":null},{"id":"2111.10677","title":"VideoPose: Estimating 6D object pose from videos","created":"2021-11-20","cited_by_count":1,"area":null},{"id":"2203.13254","title":"EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation","created":"2022-03-24","cited_by_count":1,"area":null},{"id":"2209.03910","title":"PixTrack: Precise 6DoF Object Pose Tracking using NeRF Templates and Feature-metric Alignment","created":"2022-09-08","cited_by_count":1,"area":null},{"id":"2311.17504","title":"PViT-6D: Overclocking Vision Transformers for 6D Pose Estimation with Confidence-Level Prediction and Pose Tokens","created":"2023-11-29","cited_by_count":1,"area":null},{"id":"2401.13405","title":"Synthetic data enables faster annotation and robust segmentation for multi-object grasping in clutter","created":"2024-01-24","cited_by_count":1,"area":null},{"id":"2401.16284","title":"Leveraging Positional Encoding for Robust Multi-Reference-Based Object 6D Pose Estimation","created":"2024-01-29","cited_by_count":1,"area":null},{"id":"2405.10557","title":"Resolving Symmetry Ambiguity in Correspondence-based Methods for Instance-level Object Pose Estimation","created":"2024-05-17","cited_by_count":1,"area":null},{"id":"2410.09010","title":"CVAM-Pose: Conditional Variational Autoencoder for Multi-Object Monocular Pose Estimation","created":"2024-10-11","cited_by_count":1,"area":null},{"id":"2504.09160","title":"SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow","created":"2025-04-12","cited_by_count":1,"area":null},{"id":"2101.08895","title":"Iterative Optimisation with an Innovation CNN for Pose Refinement","created":"2021-01-22","cited_by_count":0,"area":null},{"id":"2109.12266","title":"Learning Stereopsis from Geometric Synthesis for 6D Object Pose Estimation","created":"2021-09-25","cited_by_count":0,"area":null},{"id":"2111.10520","title":"StylePart: Image-based Shape Part Manipulation","created":"2021-11-20","cited_by_count":0,"area":null},{"id":"2203.03498","title":"Weakly Supervised Learning of Keypoints for 6D Object Pose Estimation","created":"2022-03-07","cited_by_count":0,"area":null},{"id":"2207.00260","title":"Towards Two-view 6D Object Pose Estimation: A Comparative Study on Fusion Strategy","created":"2022-07-01","cited_by_count":0,"area":null},{"id":"2211.11188","title":"Simultaneous Multiple Object Detection and Pose Estimation using 3D Model Infusion with Monocular Vision","created":"2022-11-21","cited_by_count":0,"area":null},{"id":"2303.06753","title":"Modular Quantization-Aware Training for 6D Object Pose Estimation","created":"2023-03-12","cited_by_count":0,"area":null},{"id":"2307.11543","title":"KVN: Keypoints Voting Network with Differentiable RANSAC for Stereo Pose Estimation","created":"2023-07-21","cited_by_count":0,"area":null},{"id":"2402.04979","title":"Detection and Pose Estimation of flat, Texture-less Industry Objects on HoloLens using synthetic Training","created":"2024-02-07","cited_by_count":0,"area":null},{"id":"2406.02977","title":"Sparse Color-Code Net: Real-Time RGB-Based 6D Object Pose Estimation on Edge Devices","created":"2024-06-05","cited_by_count":0,"area":null},{"id":"2407.08909","title":"KGpose: Keypoint-Graph Driven End-to-End Multi-Object 6D Pose Estimation via Point-Wise Pose Voting","created":"2024-07-12","cited_by_count":0,"area":null}],"next_cursor":"100"}