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6D Pose Estimation

Image: Zeng et al

Papers

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Showing 201–250 of 255 papers

TitleStatusHype
Improving 6D Pose Estimation of Objects in Clutter via Physics-aware Monte Carlo Tree Search—0
Industrial Application of 6D Pose Estimation for Robotic Manipulation in Automotive Internal Logistics—0
Instance segmentation based 6D pose estimation of industrial objects using point clouds for robotic bin-picking—0
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects—0
Jenga Stacking Based on 6D Pose Estimation for Architectural Form Finding Process—0
Keypoint-Graph-Driven Learning Framework for Object Pose Estimation—0
KGpose: Keypoint-Graph Driven End-to-End Multi-Object 6D Pose Estimation via Point-Wise Pose Voting—0
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions—0
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images—0
Leveraging Global Stereo Consistency for Category-Level Shape and 6D Pose Estimation from Stereo Images—0
Leveraging Positional Encoding for Robust Multi-Reference-Based Object 6D Pose Estimation—0
Pose Estimation for Ground Robots: On Manifold Representation, Integration, Re-Parameterization, and Optimization—0
MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation—0
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images—0
Model-Based Underwater 6D Pose Estimation from RGB—0
Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping—0
Monocular pose estimation of articulated surgical instruments in open surgery—0
MPF6D: Masked Pyramid Fusion 6D Pose Estimation—0
Multi-View Matching Network for 6D Pose Estimation—0
MV6D: Multi-View 6D Pose Estimation on RGB-D Frames Using a Deep Point-wise Voting Network—0
NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation—0
NormNet: Scale Normalization for 6D Pose Estimation in Stacked Scenarios—0
FreeZe: Training-free zero-shot 6D pose estimation with geometric and vision foundation models—0
Object 6D Pose Estimation with Non-local Attention—0
Object detection and Autoencoder-based 6D pose estimation for highly cluttered Bin Picking—0
Object Gaussian for Monocular 6D Pose Estimation from Sparse Views—0
One2Any: One-Reference 6D Pose Estimation for Any Object—0
Open-vocabulary object 6D pose estimation—0
P^2GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation—0
PAM:Point-wise Attention Module for 6D Object Pose Estimation—0
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation—0
Photorealistic Image Synthesis for Object Instance Detection—0
Polarimetric Information for Multi-Modal 6D Pose Estimation of Photometrically Challenging Objects with Limited Data—0
Pos3R: 6D Pose Estimation for Unseen Objects Made Easy—0
Pose Estimation of Specular and Symmetrical Objects—0
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
RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base—0
Physics-Based Object 6D-Pose Estimation during Non-Prehensile Manipulation—0
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd—0
Recovering 6D Object Pose: A Review and Multi-modal Analysis—0
RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos—0
LucidGrasp: Robotic Framework for Autonomous Manipulation of Laboratory Equipment with Different Degrees of Transparency via 6D Pose Estimation—0
Robust 6D Object Pose Estimation with Stochastic Congruent Sets—0
SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects—0
Safe and Effective Picking Paths in Clutter given Discrete Distributions of Object Poses—0
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects—0
SHREC 2020 track: 6D Object Pose Estimation—0
Sim2Real Instance-Level Style Transfer for 6D Pose Estimation—0
Sim2Real Object-Centric Keypoint Detection and Description—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