{"total":43,"rows":[{"id":"2503.18673","title":"Any6D: Model-free 6D Pose Estimation of Novel Objects","created":"2025-03-24","cited_by_count":49,"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":"2502.04293","title":"GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation","created":"2025-02-06","cited_by_count":18,"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":"2411.16106","title":"UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image","created":"2024-11-25","cited_by_count":12,"area":null},{"id":"2503.13926","title":"Learning Shape-Independent Transformation via Spherical Representations for Category-Level Object Pose Estimation","created":"2025-03-18","cited_by_count":8,"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":"2510.01934","title":"Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors","created":"2025-10-02","cited_by_count":5,"area":null},{"id":"2411.16668","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","created":"2024-11-25","cited_by_count":4,"area":null},{"id":"2508.02157","title":"Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes","created":"2025-08-04","cited_by_count":4,"area":null},{"id":"2510.18521","title":"RayPose: Ray Bundling Diffusion for Template Views in Unseen 6D Object Pose Estimation","created":"2025-10-21","cited_by_count":4,"area":null},{"id":"2605.25553","title":"ComPose: A Unified Completion-Pose Framework for Robust Category-Level Object Pose Estimation","created":"2026-05-25","cited_by_count":4,"area":null},{"id":"2503.18671","title":"Structure-Aware Correspondence Learning for Relative Pose Estimation","created":"2025-03-24","cited_by_count":3,"area":null},{"id":"2504.07955","title":"BoxDreamer: Dreaming Box Corners for Generalizable Object Pose Estimation","created":"2025-04-10","cited_by_count":3,"area":null},{"id":"2508.07775","title":"Forecasting Continuous Non-Conservative Dynamical Systems in SO(3)","created":"2025-08-11","cited_by_count":3,"area":null},{"id":"2509.18979","title":"Category-Level Object Shape and Pose Estimation in Less Than a Millisecond","created":"2025-09-23","cited_by_count":3,"area":null},{"id":"2409.19641","title":"fCOP: Focal Length Estimation from Category-level Object Priors","created":"2024-09-29","cited_by_count":1,"area":null},{"id":"2410.13465","title":"Object Pose Estimation Using Implicit Representation For Transparent Objects","created":"2024-10-17","cited_by_count":1,"area":null},{"id":"2511.12614","title":"OPFormer: Object Pose Estimation leveraging foundation model with geometric encoding","created":"2025-11-16","cited_by_count":1,"area":null},{"id":"2603.07144","title":"CanoVerse: 3D Object Scalable Canonicalization and Dataset for Generation and Pose","created":"2026-03-07","cited_by_count":1,"area":null},{"id":"2605.13018","title":"OCH3R: Object-Centric Holistic 3D Reconstruction","created":"2026-05-13","cited_by_count":1,"area":null},{"id":"2607.04930","title":"MemPose: Category-level Object Pose Estimation with Memory","created":"2026-07-06","cited_by_count":1,"area":null},{"id":"2407.10737","title":"Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models","created":"2024-07-15","cited_by_count":0,"area":null},{"id":"2501.02831","title":"Universal Features Guided Zero-Shot Category-Level Object Pose Estimation","created":"2025-01-06","cited_by_count":0,"area":null},{"id":"2503.19625","title":"DynOPETs: A Versatile Benchmark for Dynamic Object Pose Estimation and Tracking in Moving Camera Scenarios","created":"2025-03-25","cited_by_count":0,"area":null},{"id":"2505.16144","title":"GMatch: A Lightweight, Geometry-Constrained Keypoint Matcher for Zero-Shot 6DoF Pose Estimation in Robotic Grasp Tasks","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2508.13623","title":"RCGNet: RGB-based Category-Level 6D Object Pose Estimation with Geometric Guidance","created":"2025-08-19","cited_by_count":0,"area":null},{"id":"2508.14358","title":"Learning Point Cloud Representations with Pose Continuity for Depth-Based Category-Level 6D Object Pose Estimation","created":"2025-08-20","cited_by_count":0,"area":null},{"id":"2509.24572","title":"SCOPE: Semantic Conditioning for Sim2Real Category-Level Object Pose Estimation in Robotics","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2511.15884","title":"AnyBox: Efficient Zero-Shot 9DoF Pose Estimation of Boxes for Robotic Manipulation","created":"2025-11-19","cited_by_count":0,"area":null},{"id":"2512.10251","title":"THE-Pose: Topological Prior with Hybrid Graph Fusion for Estimating Category-Level 6D Object Pose","created":"2025-12-11","cited_by_count":0,"area":null},{"id":"2601.06883","title":"MixRI: Mixing Features of Reference Images for Novel Object Pose Estimation","created":"2026-01-11","cited_by_count":0,"area":null},{"id":"2602.19937","title":"Learning Positive-Incentive Point Sampling in Neural Implicit Fields for Object Pose Estimation","created":"2026-02-23","cited_by_count":0,"area":null},{"id":"2603.23370","title":"Object Pose Transformer: Unifying Unseen Object Pose Estimation","created":"2026-03-24","cited_by_count":0,"area":null},{"id":"2605.15728","title":"DecomPose: Disentangling Cross-Category Optimization Contention for Category-Level 6D Object Pose Estimation","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2606.02219","title":"Symmetry-Aware 9D Pose Estimation with Sim(3)-Consistent Feature and Spherical Inception Convolution","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2606.22076","title":"Learning Cross-View Semantic Priors for Single-Reference Unseen Object Pose Estimation","created":"2026-06-20","cited_by_count":0,"area":null},{"id":"2606.30058","title":"Emergence of a Shared Canonical Object Frame from In-the-Wild Videos","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2607.09985","title":"UniPose9D: Universal Category-Agnostic Object Pose Estimation","created":"2026-07-10","cited_by_count":0,"area":null},{"id":"2609.16727","title":"PriorPose: Reference-Guided Joint Deformation and Alignment for Category-Level Object Pose Estimation","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.35046","title":"LEGAU: Learning Semantic Gaussian Priors for Scalable Category-level Pose Estimation","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.01758","title":"GenCOPE: Syn2Real Generalized Category-Level Object Pose Estimation for Robotic Picking","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.03013","title":"RYOPO: Bringing End-to-End Category-Level Object Pose Estimation into Real Time","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}