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6D Pose Estimation

Image: Zeng et al

Papers

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Showing 101–150 of 255 papers

TitleStatusHype
PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation—0
PrimA6D: Rotational Primitive Reconstruction for Enhanced and Robust 6D Pose Estimation—0
ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers—0
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects—0
ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes—0
3D object reconstruction and 6D-pose estimation from 2D shape for robotic grasping of objects—0
3D Point-to-Keypoint Voting Network for 6D Pose Estimation—0
3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation—0
6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model—0
6D Object Pose Tracking in Internet Videos for Robotic Manipulation—0
6DOF Pose Estimation of a 3D Rigid Object based on Edge-enhanced Point Pair Features—0
6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly—0
6D Pose Estimation on Spoons and Hands—0
6D Pose Estimation using an Improved Method based on Point Pair Features—0
6D Pose Estimation with Combined Deep Learning and 3D Vision Techniques for a Fast and Accurate Object Grasping—0
6D Pose Estimation with Correlation Fusion—0
6D Robotic Assembly Based on RGB-only Object Pose Estimation—0
Accurate and efficient zero-shot 6D pose estimation with frozen foundation models—0
Active 6D Pose Estimation for Textureless Objects using Multi-View RGB Frames—0
Advancing 6D Pose Estimation in Augmented Reality -- Overcoming Projection Ambiguity with Uncontrolled Imagery—0
AI-Powered Augmented Reality for Satellite Assembly, Integration and Test—0
A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task—0
A Pose Proposal and Refinement Network for Better Object Pose Estimation—0
Any6D: Model-free 6D Pose Estimation of Novel Objects—0
A Projective Geometric View for 6D Pose Estimation in mmWave MIMO Systems—0
AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation—0
Object Pose Estimation in Robotics Revisited—0
BOP-Distrib: Revisiting 6D Pose Estimation Benchmarks for Better Evaluation under Visual Ambiguities—0
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes—0
Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset—0
Category-Level 6D Object Pose Estimation in Agricultural Settings Using a Lattice-Deformation Framework and Diffusion-Augmented Synthetic Data—0
Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks—0
Category-Level and Open-Set Object Pose Estimation for Robotics—0
CenDerNet: Center and Curvature Representations for Render-and-Compare 6D Pose Estimation—0
CHIP: A multi-sensor dataset for 6D pose estimation of chairs in industrial settings—0
Context-aware 6D Pose Estimation of Known Objects using RGB-D data—0
CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World—0
CorNet: Generic 3D Corners for 6D Pose Estimation of New Objects without Retraining—0
Correspondence-Free Pose Estimation with Patterns: A Unified Approach for Multi-Dimensional Vision—0
Counter-Hypothetical Particle Filters for Single Object Pose Tracking—0
CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning—0
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation—0
DeepRM: Deep Recurrent Matching for 6D Pose Refinement—0
Detection and Pose Estimation of flat, Texture-less Industry Objects on HoloLens using synthetic Training—0
DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation—0
Differentiable Rendering with Perturbed Optimizers—0
DINeMo: Learning Neural Mesh Models with no 3D Annotations—0
Distilling 3D distinctive local descriptors for 6D pose estimation—0
Domain Generalization for 6D Pose Estimation Through NeRF-based Image Synthesis—0
Domain Generalization for In-Orbit 6D Pose Estimation—0
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All datasetsYCB-VideoDTTD-MobileLineMODOPT3D-BSLS-6D

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ICG+ADDS AUC97.9—Unverified
2FFB6DADDS AUC96.6—Unverified
3ICGADDS AUC96.5—Unverified
4PVN3DADDS AUC96.1—Unverified
5se3-TrackNetADDS AUC95.71—Unverified
6CMCL6DADDS AUC95.43—Unverified
7DTTD-Net w/o refinerADDS AUC94.19—Unverified
8MaskedFusionADDS AUC93.3—Unverified
9DenseFusionADDS AUC93.1—Unverified
10PoseCNN+ICPADDS AUC93—Unverified
#ModelMetricClaimedVerifiedStatus
16D OBJECT POSE TRACKING IN INTERNET VIDEOS FOR ROBOTIC MANIPULATIONAR CoU52.1—Unverified
2MegaPose-RGBD (refined)ADD AUC49.02—Unverified
3GigaPoseAR CoU39.32—Unverified
4FoundPoseAR CoU31.32—Unverified
5MegaPose-RGBD (Coarse)AR CoU13.72—Unverified
#ModelMetricClaimedVerifiedStatus
1FFB6DAccuracy (ADD)99.7—Unverified
2PVN3DAccuracy (ADD)99.4—Unverified
3GPV-PoseMean ADD-S98.2—Unverified
4MaskedFusionAccuracy (ADD)97.8—Unverified
5DenseFusionAccuracy (ADD)94.3—Unverified
#ModelMetricClaimedVerifiedStatus
1ICG+AUC17.57—Unverified
2ICGAUC16.54—Unverified
#ModelMetricClaimedVerifiedStatus
1VISAPP BaselineeRE0.2—Unverified