{"total":33,"rows":[{"id":"2103.07054","title":"FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism","created":"2021-03-12","cited_by_count":121,"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":"2103.06526","title":"DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency","created":"2021-03-11","cited_by_count":103,"area":null},{"id":"2207.13691","title":"ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization","created":"2022-07-27","cited_by_count":72,"area":null},{"id":"2203.01929","title":"CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation","created":"2022-03-03","cited_by_count":70,"area":null},{"id":"2103.16317","title":"Deep Regression on Manifolds: A 3D Rotation Case Study","created":"2021-03-30","cited_by_count":67,"area":null},{"id":"2106.05965","title":"Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold","created":"2021-06-10","cited_by_count":65,"area":null},{"id":"2303.13479","title":"IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation","created":"2023-03-23","cited_by_count":41,"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":"2105.05643","title":"PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning","created":"2021-05-12","cited_by_count":19,"area":null},{"id":"2204.01080","title":"ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework","created":"2022-04-03","cited_by_count":19,"area":null},{"id":"2401.02281","title":"PEGASUS: Physically Enhanced Gaussian Splatting Simulation System for 6DoF Object Pose Dataset Generation","created":"2024-01-04","cited_by_count":13,"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":"2112.09598","title":"Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans","created":"2021-12-17","cited_by_count":4,"area":null},{"id":"2307.00306","title":"SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation","created":"2023-07-01","cited_by_count":4,"area":null},{"id":"2508.05505","title":"Symmetry Understanding of 3D Shapes via Chirality Disentanglement","created":"2025-08-07","cited_by_count":3,"area":null},{"id":"2208.08962","title":"Stable Object Reorientation using Contact Plane Registration","created":"2022-08-18","cited_by_count":2,"area":null},{"id":"2208.09829","title":"CenDerNet: Center and Curvature Representations for Render-and-Compare 6D Pose Estimation","created":"2022-08-21","cited_by_count":2,"area":null},{"id":"2211.11394","title":"Learning Implicit Probability Distribution Functions for Symmetric Orientation Estimation from RGB Images Without Pose Labels","created":"2022-11-21","cited_by_count":2,"area":null},{"id":"2301.08147","title":"RGB-D-Based Categorical Object Pose and Shape Estimation: Methods, Datasets, and Evaluation","created":"2023-01-19","cited_by_count":2,"area":null},{"id":"2409.06683","title":"Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences","created":"2024-09-10","cited_by_count":2,"area":null},{"id":"2212.04632","title":"Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation","created":"2022-12-09","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":"2410.10350","title":"On Representation of 3D Rotation in the Context of Deep Learning","created":"2024-10-14","cited_by_count":1,"area":null},{"id":"2603.19961","title":"Cov2Pose: Leveraging Spatial Covariance for Direct Manifold-aware 6-DoF Object Pose Estimation","created":"2026-03-20","cited_by_count":1,"area":null},{"id":"2604.18208","title":"Towards Symmetry-sensitive Pose Estimation: A Rotation Representation for Symmetric Object Classes","created":"2026-04-20","cited_by_count":1,"area":null},{"id":"2112.00380","title":"Deep Measurement Updates for Bayes Filters","created":"2021-12-01","cited_by_count":0,"area":null},{"id":"2510.10933","title":"DKPMV: Dense Keypoints Fusion from Multi-View RGB Frames for 6D Pose Estimation of Textureless Objects","created":"2025-10-13","cited_by_count":0,"area":null},{"id":"2512.04890","title":"Equivariant symmetry-aware head pose estimation for fetal MRI","created":"2025-12-04","cited_by_count":0,"area":null},{"id":"2601.12090","title":"Detecting 3D Line Segments for 6DoF Pose Estimation with Limited Data","created":"2026-01-17","cited_by_count":0,"area":null},{"id":"2604.04690","title":"Pickalo: Leveraging 6D Pose Estimation for Low-Cost Industrial Bin Picking","created":"2026-04-06","cited_by_count":0,"area":null},{"id":"2606.16593","title":"Rotational Symmetry based Object Pose Estimation from Point Clouds in the Absence of Known 3D Models","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2608.26859","title":"A Geometry-Driven, Framework-Agnostic Optimization for Object Pose Estimation","created":"2026-08-27","cited_by_count":0,"area":null}],"next_cursor":null}