{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/6d-pose-estimation-1/papers/2","list_of":"/task/6d-pose-estimation-1","task":"6D Pose Estimation","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":2,"pages_in_order":3,"rows_per_page":100,"rows":[101,200],"of":255,"counts":{"archive_papers_tagged":255,"with_a_code_link":118,"where_syntology_ran_a_sample":30,"not_listed_spam_title":0,"listed":255,"listed_where_code_ran":30,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":29,"every_run_a_failure_of_syntologys_instrument":1,"listed_with_a_run_with_no_instrument_failure":29,"listed_every_run_a_failure_of_syntologys_instrument":1,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/6d-pose-estimation-1","prev":"/task/6d-pose-estimation-1","next":"/task/6d-pose-estimation-1/papers/3","papers":[{"url":"/paper/gsnet-joint-vehicle-pose-and-shape","slug":"gsnet-joint-vehicle-pose-and-shape","title":"GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision","date":"2020-07-26","arxiv_id":"2007.13124","repositories_listed":1,"syntology":null},{"url":"/paper/neural-object-learning-for-6d-pose-estimation","slug":"neural-object-learning-for-6d-pose-estimation","title":"Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images","date":"2020-05-07","arxiv_id":"2005.03717","repositories_listed":1,"syntology":null},{"url":"/paper/self6d-self-supervised-monocular-6d-object","slug":"self6d-self-supervised-monocular-6d-object","title":"Self6D: Self-Supervised Monocular 6D Object Pose Estimation","date":"2020-04-14","arxiv_id":"2004.06468","repositories_listed":1,"syntology":null},{"url":"/paper/morefusion-multi-object-reasoning-for-6d-pose","slug":"morefusion-multi-object-reasoning-for-6d-pose","title":"MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion","date":"2020-04-09","arxiv_id":"2004.04336","repositories_listed":1,"syntology":null},{"url":"/paper/epos-estimating-6d-pose-of-objects-with","slug":"epos-estimating-6d-pose-of-objects-with","title":"EPOS: Estimating 6D Pose of Objects with Symmetries","date":"2020-04-01","arxiv_id":"2004.00605","repositories_listed":1,"syntology":null},{"url":"/paper/g2l-net-global-to-local-network-for-real-time","slug":"g2l-net-global-to-local-network-for-real-time","title":"G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features","date":"2020-03-24","arxiv_id":"2003.11089","repositories_listed":1,"syntology":null},{"url":"/paper/robust-occlusion-aware-pose-estimation-for","slug":"robust-occlusion-aware-pose-estimation-for","title":"Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands","date":"2020-03-07","arxiv_id":"2003.03518","repositories_listed":1,"syntology":null},{"url":"/paper/latentfusion-end-to-end-differentiable","slug":"latentfusion-end-to-end-differentiable","title":"LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation","date":"2019-12-01","arxiv_id":"1912.00416","repositories_listed":1,"syntology":null},{"url":"/paper/single-stage-6d-object-pose-estimation","slug":"single-stage-6d-object-pose-estimation","title":"Single-Stage 6D Object Pose Estimation","date":"2019-11-19","arxiv_id":"1911.08324","repositories_listed":1,"syntology":null},{"url":"/paper/maskedfusion-mask-based-6d-object-pose","slug":"maskedfusion-mask-based-6d-object-pose","title":"MaskedFusion: Mask-based 6D Object Pose Estimation","date":"2019-11-18","arxiv_id":"1911.07771","repositories_listed":1,"syntology":null},{"url":"/paper/ppr-net-point-wise-pose-regression-network","slug":"ppr-net-point-wise-pose-regression-network","title":"PPR-Net:Point-wise Pose Regression Network for Instance Segmentation and 6D Pose Estimation in Bin-picking Scenarios","date":"2019-11-03","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/190807640","slug":"190807640","title":"On Object Symmetries and 6D Pose Estimation from Images","date":"2019-08-20","arxiv_id":"1908.07640","repositories_listed":1,"syntology":null},{"url":"/paper/deep-learning-for-spacecraft-pose-estimation","slug":"deep-learning-for-spacecraft-pose-estimation","title":"Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering","date":"2019-07-09","arxiv_id":"1907.04298","repositories_listed":1,"syntology":null},{"url":"/paper/poserbpf-a-rao-blackwellized-particle-filter","slug":"poserbpf-a-rao-blackwellized-particle-filter","title":"PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking","date":"2019-05-22","arxiv_id":"1905.09304","repositories_listed":1,"syntology":null},{"url":"/paper/vision-based-robotic-grasping-from-object","slug":"vision-based-robotic-grasping-from-object","title":"Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A Review","date":"2019-05-16","arxiv_id":"1905.06658","repositories_listed":1,"syntology":null},{"url":"/paper/implicit-3d-orientation-learning-for-6d","slug":"implicit-3d-orientation-learning-for-6d","title":"Implicit 3D Orientation Learning for 6D Object Detection from RGB Images","date":"2019-02-04","arxiv_id":"1902.01275","repositories_listed":1,"syntology":{"n":5,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/implicit-3d-orientation-learning-for-6d#ran","syntology_url":"https://syntology.ai/paper/1902.01275","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1902.01275"}},"official":{"repos":["DLR-RM/AugmentedAutoencoder"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/bop-benchmark-for-6d-object-pose-estimation","slug":"bop-benchmark-for-6d-object-pose-estimation","title":"BOP: Benchmark for 6D Object Pose Estimation","date":"2018-08-24","arxiv_id":"1808.08319","repositories_listed":1,"syntology":null},{"url":"/paper/ssd-6d-making-rgb-based-3d-detection-and-6d","slug":"ssd-6d-making-rgb-based-3d-detection-and-6d","title":"SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again","date":"2017-11-27","arxiv_id":"1711.10006","repositories_listed":1,"syntology":null},{"url":null,"slug":"rag-6dpose-retrieval-augmented-6d-pose","title":"RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base","date":"2025-06-23","arxiv_id":"2506.18856","repositories_listed":0,"syntology":null},{"url":null,"slug":"monocular-one-shot-metric-depth-alignment-for","title":"Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping","date":"2025-06-20","arxiv_id":"2506.17110","repositories_listed":0,"syntology":null},{"url":null,"slug":"accurate-and-efficient-zero-shot-6d-pose","title":"Accurate and efficient zero-shot 6D pose estimation with frozen foundation models","date":"2025-06-11","arxiv_id":"2506.09784","repositories_listed":0,"syntology":null},{"url":null,"slug":"chip-a-multi-sensor-dataset-for-6d-pose","title":"CHIP: A multi-sensor dataset for 6D pose estimation of chairs in industrial settings","date":"2025-06-11","arxiv_id":"2506.09699","repositories_listed":0,"syntology":null},{"url":null,"slug":"you-only-estimate-once-unified-one-stage-real","title":"You Only Estimate Once: Unified, One-stage, Real-Time Category-level Articulated Object 6D Pose Estimation for Robotic Grasping","date":"2025-06-06","arxiv_id":"2506.05719","repositories_listed":0,"syntology":null},{"url":null,"slug":"6d-pose-estimation-on-point-cloud-data","title":"6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly","date":"2025-05-30","arxiv_id":"2505.24669","repositories_listed":0,"syntology":null},{"url":null,"slug":"category-level-6d-object-pose-estimation-in-1","title":"Category-Level 6D Object Pose Estimation in Agricultural Settings Using a Lattice-Deformation Framework and Diffusion-Augmented Synthetic Data","date":"2025-05-30","arxiv_id":"2505.24636","repositories_listed":0,"syntology":null},{"url":null,"slug":"2505-10841","title":"RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects","date":"2025-05-16","arxiv_id":"2505.10841","repositories_listed":0,"syntology":null},{"url":"/paper/one2any-one-reference-6d-pose-estimation-for","slug":"one2any-one-reference-6d-pose-estimation-for","title":"One2Any: One-Reference 6D Pose Estimation for Any Object","date":"2025-05-07","arxiv_id":"2505.04109","repositories_listed":0,"syntology":{"n":19,"n_ran":13,"n_constructed":0,"n_ran_checked":13,"n_instrument":0,"n_unverified":6,"n_honours":0,"n_violates":0,"n_no_contract":13,"n_pointer_only":17,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/one2any-one-reference-6d-pose-estimation-for#ran","syntology_url":"https://syntology.ai/paper/2505.04109","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.04109"}},"official":null}},{"url":null,"slug":"6d-pose-estimation-on-spoons-and-hands","title":"6D Pose Estimation on Spoons and Hands","date":"2025-05-05","arxiv_id":"2505.02335","repositories_listed":0,"syntology":null},{"url":null,"slug":"category-level-and-open-set-object-pose","title":"Category-Level and Open-Set Object Pose Estimation for Robotics","date":"2025-04-28","arxiv_id":"2504.19572","repositories_listed":0,"syntology":null},{"url":null,"slug":"vita-zero-zero-shot-visuotactile-object-6d","title":"ViTa-Zero: Zero-shot Visuotactile Object 6D Pose Estimation","date":"2025-04-17","arxiv_id":"2504.13179","repositories_listed":0,"syntology":null},{"url":null,"slug":"dinemo-learning-neural-mesh-models-with-no-3d","title":"DINeMo: Learning Neural Mesh Models with no 3D Annotations","date":"2025-03-26","arxiv_id":"2503.20220","repositories_listed":0,"syntology":null},{"url":null,"slug":"any6d-model-free-6d-pose-estimation-of-novel","title":"Any6D: Model-free 6D Pose Estimation of Novel Objects","date":"2025-03-24","arxiv_id":"2503.18673","repositories_listed":0,"syntology":null},{"url":null,"slug":"distilling-3d-distinctive-local-descriptors","title":"Distilling 3D distinctive local descriptors for 6D pose estimation","date":"2025-03-19","arxiv_id":"2503.15106","repositories_listed":0,"syntology":null},{"url":null,"slug":"foundation-feature-driven-online-end-effector","title":"Foundation Feature-Driven Online End-Effector Pose Estimation: A Marker-Free and Learning-Free Approach","date":"2025-03-18","arxiv_id":"2503.14051","repositories_listed":0,"syntology":null},{"url":"/paper/6d-object-pose-tracking-in-internet-videos","slug":"6d-object-pose-tracking-in-internet-videos","title":"6D Object Pose Tracking in Internet Videos for Robotic Manipulation","date":"2025-03-13","arxiv_id":"2503.10307","repositories_listed":0,"syntology":null},{"url":null,"slug":"axispose-model-free-matching-free-single-shot","title":"AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation","date":"2025-03-09","arxiv_id":"2503.06660","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-6d-pose-estimation-for-textureless","title":"Active 6D Pose Estimation for Textureless Objects using Multi-View RGB Frames","date":"2025-03-05","arxiv_id":"2503.03726","repositories_listed":0,"syntology":null},{"url":null,"slug":"correspondence-free-pose-estimation-with","title":"Correspondence-Free Pose Estimation with Patterns: A Unified Approach for Multi-Dimensional Vision","date":"2025-02-26","arxiv_id":"2503.00051","repositories_listed":0,"syntology":null},{"url":null,"slug":"hippo-harnessing-image-to-3d-priors-for-model","title":"HIPPo: Harnessing Image-to-3D Priors for Model-free Zero-shot 6D Pose Estimation","date":"2025-02-14","arxiv_id":"2502.10606","repositories_listed":0,"syntology":null},{"url":null,"slug":"cordvip-correspondence-based-visuomotor","title":"CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World","date":"2025-02-12","arxiv_id":"2502.08449","repositories_listed":0,"syntology":null},{"url":null,"slug":"spiking-monocular-event-based-6d-pose","title":"Spiking monocular event based 6D pose estimation for space application","date":"2025-01-06","arxiv_id":"2501.02916","repositories_listed":0,"syntology":null},{"url":null,"slug":"ig-6dof-model-free-6dof-pose-estimation-for","title":"iG-6DoF: Model-free 6DoF Pose Estimation for Unseen Object via Iterative 3D Gaussian Splatting","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-global-stereo-consistency-for","title":"Leveraging Global Stereo Consistency for Category-Level Shape and 6D Pose Estimation from Stereo Images","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"pos3r-6d-pose-estimation-for-unseen-objects","title":"Pos3R: 6D Pose Estimation for Unseen Objects Made Easy","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"gs2pose-tow-stage-6d-object-pose-estimation","title":"GS2Pose: Two-stage 6D Object Pose Estimation Guided by Gaussian Splatting","date":"2024-11-06","arxiv_id":"2411.03807","repositories_listed":0,"syntology":null},{"url":null,"slug":"robotic-framework-for-autonomous-manipulation","title":"LucidGrasp: Robotic Framework for Autonomous Manipulation of Laboratory Equipment with Different Degrees of Transparency via 6D Pose Estimation","date":"2024-10-10","arxiv_id":"2410.07801","repositories_listed":0,"syntology":null},{"url":null,"slug":"geartrack-automating-6d-pose-estimation","title":"SuperPose: Improved 6D Pose Estimation with Robust Tracking and Mask-Free Initialization","date":"2024-09-30","arxiv_id":"2409.19986","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-powered-augmented-reality-for-satellite","title":"AI-Powered Augmented Reality for Satellite Assembly, Integration and Test","date":"2024-09-26","arxiv_id":"2409.18101","repositories_listed":0,"syntology":null},{"url":null,"slug":"fafa-frequency-aware-flow-aided-self","title":"FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation","date":"2024-09-25","arxiv_id":"2409.16600","repositories_listed":0,"syntology":null},{"url":null,"slug":"maskval-simple-but-effective-uncertainty","title":"MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation","date":"2024-09-05","arxiv_id":"2409.03556","repositories_listed":0,"syntology":null},{"url":null,"slug":"object-gaussian-for-monocular-6d-pose","title":"Object Gaussian for Monocular 6D Pose Estimation from Sparse Views","date":"2024-09-04","arxiv_id":"2409.02581","repositories_listed":0,"syntology":null},{"url":null,"slug":"bop-d-revisiting-6d-pose-estimation-benchmark","title":"BOP-Distrib: Revisiting 6D Pose Estimation Benchmarks for Better Evaluation under Visual Ambiguities","date":"2024-08-30","arxiv_id":"2408.17297","repositories_listed":0,"syntology":null},{"url":null,"slug":"6dgs-6d-pose-estimation-from-a-single-image","title":"6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model","date":"2024-07-22","arxiv_id":"2407.15484","repositories_listed":0,"syntology":null},{"url":null,"slug":"monocular-pose-estimation-of-articulated","title":"Monocular pose estimation of articulated surgical instruments in open surgery","date":"2024-07-16","arxiv_id":"2407.12138","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-generalization-for-6d-pose-estimation","title":"Domain Generalization for 6D Pose Estimation Through NeRF-based Image Synthesis","date":"2024-07-15","arxiv_id":"2407.10762","repositories_listed":0,"syntology":null},{"url":null,"slug":"kgpose-keypoint-graph-driven-end-to-end-multi","title":"KGpose: Keypoint-Graph Driven End-to-End Multi-Object 6D Pose Estimation via Point-Wise Pose Voting","date":"2024-07-12","arxiv_id":"2407.08909","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-resolution-open-vocabulary-object-6d","title":"High-resolution open-vocabulary object 6D pose estimation","date":"2024-06-24","arxiv_id":"2406.16384","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-generalization-for-in-orbit-6d-pose","title":"Domain Generalization for In-Orbit 6D Pose Estimation","date":"2024-06-17","arxiv_id":"2406.11743","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero123-6d-zero-shot-novel-view-synthesis-for","title":"Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation","date":"2024-03-21","arxiv_id":"2403.14279","repositories_listed":0,"syntology":null},{"url":null,"slug":"advancing-6d-pose-estimation-in-augmented","title":"Advancing 6D Pose Estimation in Augmented Reality -- Overcoming Projection Ambiguity with Uncontrolled Imagery","date":"2024-03-20","arxiv_id":"2403.13434","repositories_listed":0,"syntology":null},{"url":null,"slug":"matchu-matching-unseen-objects-for-6d-pose","title":"MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images","date":"2024-03-03","arxiv_id":"2403.01517","repositories_listed":0,"syntology":null},{"url":null,"slug":"extending-6d-object-pose-estimators-for","title":"Extending 6D Object Pose Estimators for Stereo Vision","date":"2024-02-08","arxiv_id":"2402.05610","repositories_listed":0,"syntology":null},{"url":null,"slug":"detection-and-pose-estimation-of-flat-texture","title":"Detection and Pose Estimation of flat, Texture-less Industry Objects on HoloLens using synthetic Training","date":"2024-02-07","arxiv_id":"2402.04979","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-positional-encoding-for-robust","title":"Leveraging Positional Encoding for Robust Multi-Reference-Based Object 6D Pose Estimation","date":"2024-01-29","arxiv_id":"2401.16284","repositories_listed":0,"syntology":null},{"url":null,"slug":"rgbd-objects-in-the-wild-scaling-real-world","title":"RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos","date":"2024-01-23","arxiv_id":"2401.12592","repositories_listed":0,"syntology":null},{"url":null,"slug":"object-6d-pose-estimation-meets-zero-shot","title":"FreeZe: Training-free zero-shot 6D pose estimation with geometric and vision foundation models","date":"2023-12-01","arxiv_id":"2312.00947","repositories_listed":0,"syntology":null},{"url":null,"slug":"open-vocabulary-object-6d-pose-estimation","title":"Open-vocabulary object 6D pose estimation","date":"2023-12-01","arxiv_id":"2312.00690","repositories_listed":0,"syntology":null},{"url":"/paper/foundpose-unseen-object-pose-estimation-with","slug":"foundpose-unseen-object-pose-estimation-with","title":"FoundPose: Unseen Object Pose Estimation with Foundation Features","date":"2023-11-30","arxiv_id":"2311.18809","repositories_listed":0,"syntology":null},{"url":null,"slug":"jenga-stacking-based-on-6d-pose-estimation","title":"Jenga Stacking Based on 6D Pose Estimation for Architectural Form Finding Process","date":"2023-11-18","arxiv_id":"2311.10918","repositories_listed":0,"syntology":null},{"url":null,"slug":"normnet-scale-normalization-for-6d-pose","title":"NormNet: Scale Normalization for 6D Pose Estimation in Stacked Scenarios","date":"2023-11-15","arxiv_id":"2311.09269","repositories_listed":0,"syntology":null},{"url":null,"slug":"industrial-application-of-6d-pose-estimation","title":"Industrial Application of 6D Pose Estimation for Robotic Manipulation in Automotive Internal Logistics","date":"2023-09-25","arxiv_id":"2309.14265","repositories_listed":0,"syntology":null},{"url":null,"slug":"zs6d-zero-shot-6d-object-pose-estimation","title":"ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers","date":"2023-09-21","arxiv_id":"2309.11986","repositories_listed":0,"syntology":null},{"url":null,"slug":"vihope-visuotactile-in-hand-object-6d-pose","title":"ViHOPE: Visuotactile In-Hand Object 6D Pose Estimation with Shape Completion","date":"2023-09-11","arxiv_id":"2309.05662","repositories_listed":0,"syntology":null},{"url":null,"slug":"sa6d-self-adaptive-few-shot-6d-pose-estimator","title":"SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects","date":"2023-08-31","arxiv_id":"2308.16528","repositories_listed":0,"syntology":null},{"url":null,"slug":"polarimetric-information-for-multi-modal-6d","title":"Polarimetric Information for Multi-Modal 6D Pose Estimation of Photometrically Challenging Objects with Limited Data","date":"2023-08-21","arxiv_id":"2308.10627","repositories_listed":0,"syntology":null},{"url":null,"slug":"instance-segmentation-based-6d-pose","title":"Instance segmentation based 6D pose estimation of industrial objects using point clouds for robotic bin-picking","date":"2023-08-10","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"yolopose-v2-understanding-and-improving","title":"YOLOPose V2: Understanding and Improving Transformer-based 6D Pose Estimation","date":"2023-07-21","arxiv_id":"2307.11550","repositories_listed":0,"syntology":null},{"url":null,"slug":"transpose-a-transformer-based-6d-object-pose","title":"TransPose: A Transformer-based 6D Object Pose Estimation Network with Depth Refinement","date":"2023-07-09","arxiv_id":"2307.05561","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-graph-neural-networks-for-1","title":"Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of In-hand Objects","date":"2023-06-28","arxiv_id":"2306.15858","repositories_listed":0,"syntology":null},{"url":"/paper/genpose-generative-category-level-object-pose","slug":"genpose-generative-category-level-object-pose","title":"GenPose: Generative Category-level Object Pose Estimation via Diffusion Models","date":"2023-06-18","arxiv_id":"2306.10531","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-model-based-zero-shot-pose-estimation","title":"ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes","date":"2023-05-29","arxiv_id":"2305.17934","repositories_listed":0,"syntology":null},{"url":null,"slug":"counter-hypothetical-particle-filters-for","title":"Counter-Hypothetical Particle Filters for Single Object Pose Tracking","date":"2023-05-28","arxiv_id":"2305.17828","repositories_listed":0,"syntology":null},{"url":null,"slug":"you-only-look-at-one-category-level-object","title":"You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example","date":"2023-05-22","arxiv_id":"2305.12626","repositories_listed":0,"syntology":null},{"url":null,"slug":"socs-semantically-aware-object-coordinate","title":"SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations","date":"2023-03-18","arxiv_id":"2303.10346","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-underwater-6d-pose-estimation","title":"Model-Based Underwater 6D Pose Estimation from RGB","date":"2023-02-14","arxiv_id":"2302.06821","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-projective-geometric-view-for-6d-pose","title":"A Projective Geometric View for 6D Pose Estimation in mmWave MIMO Systems","date":"2023-02-01","arxiv_id":"2302.00227","repositories_listed":0,"syntology":null},{"url":null,"slug":"context-aware-6d-pose-estimation-of-known","title":"Context-aware 6D Pose Estimation of Known Objects using RGB-D data","date":"2022-12-11","arxiv_id":"2212.05560","repositories_listed":0,"syntology":null},{"url":null,"slug":"finer-grained-correlations-location-priors","title":"LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation","date":"2022-11-29","arxiv_id":"2211.16290","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-physics-based-object-pose-tracking","title":"Physics-Based Object 6D-Pose Estimation during Non-Prehensile Manipulation","date":"2022-11-24","arxiv_id":"2211.13572","repositories_listed":0,"syntology":null},{"url":null,"slug":"grasping-the-inconspicuous","title":"Grasping the Inconspicuous","date":"2022-11-15","arxiv_id":"2211.08182","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-real-time-6d-pose-estimation-of","title":"Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray","date":"2022-11-06","arxiv_id":"2211.03211","repositories_listed":0,"syntology":null},{"url":null,"slug":"uni6dv3-5d-anchor-mechanism-for-6d-pose","title":"Geo6D: Geometric Constraints Learning for 6D Pose Estimation","date":"2022-10-20","arxiv_id":"2210.10959","repositories_listed":0,"syntology":null},{"url":null,"slug":"estimating-the-pose-of-a-euro-pallet-with-an","title":"Estimating the Pose of a Euro Pallet with an RGB Camera based on Synthetic Training Data","date":"2022-10-12","arxiv_id":"2210.06001","repositories_listed":0,"syntology":null},{"url":null,"slug":"6dof-pose-estimation-of-a-3d-rigid-object","title":"6DOF Pose Estimation of a 3D Rigid Object based on Edge-enhanced Point Pair Features","date":"2022-09-17","arxiv_id":"2209.08266","repositories_listed":0,"syntology":null},{"url":null,"slug":"6d-robotic-assembly-based-on-rgb-only-object","title":"6D Robotic Assembly Based on RGB-only Object Pose Estimation","date":"2022-08-27","arxiv_id":"2208.12986","repositories_listed":0,"syntology":null},{"url":null,"slug":"cendernet-center-and-curvature","title":"CenDerNet: Center and Curvature Representations for Render-and-Compare 6D Pose Estimation","date":"2022-08-21","arxiv_id":"2208.09829","repositories_listed":0,"syntology":null},{"url":null,"slug":"so-3-pose-so-3-equivariance-learning-for-6d","title":"SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation","date":"2022-08-17","arxiv_id":"2208.08338","repositories_listed":0,"syntology":null},{"url":null,"slug":"uni6dv2-noise-elimination-for-6d-pose","title":"Uni6Dv2: Noise Elimination for 6D Pose Estimation","date":"2022-08-15","arxiv_id":"2208.06416","repositories_listed":0,"syntology":null},{"url":null,"slug":"mv6d-multi-view-6d-pose-estimation-on-rgb-d","title":"MV6D: Multi-View 6D Pose Estimation on RGB-D Frames Using a Deep Point-wise Voting Network","date":"2022-08-01","arxiv_id":"2208.01172","repositories_listed":0,"syntology":null},{"url":null,"slug":"category-level-6d-object-pose-estimation-in","title":"Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset","date":"2022-06-30","arxiv_id":"2206.15436","repositories_listed":0,"syntology":null}],"record_sha256":"c1f9776967a24062d357d61286dc3263ec3d4d72caaaf08a6c42d636c0ff71a5","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}