SOTAVerified

6D Pose Estimation

Image: Zeng et al

Papers

Showing 125 of 255 papers

TitleStatusHype
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel ObjectsCode4
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown ObjectsCode3
Fusing Visual Appearance and Geometry for Multi-modality 6DoF Object TrackingCode2
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size EstimationCode2
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging GeometriesCode2
BOP Challenge 2020 on 6D Object LocalizationCode2
Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless ObjectsCode2
GigaPose: Fast and Robust Novel Object Pose Estimation via One CorrespondenceCode2
RGBTrack: Fast, Robust Depth-Free 6D Pose Estimation and TrackingCode2
Vision6D: 3D-to-2D Interactive Visualization and Annotation Tool for 6D Pose EstimationCode2
MegaPose: 6D Pose Estimation of Novel Objects via Render & CompareCode2
OnePose: One-Shot Object Pose Estimation without CAD ModelsCode2
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose OptimizationCode2
EPOS: Estimating 6D Pose of Objects with SymmetriesCode1
Enhancing 6-DoF Object Pose Estimation through Multiple Modality Fusion: A Hybrid CNN Architecture with Cross-Layer and Cross-Modal IntegrationCode1
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression FrameworkCode1
DProST: Dynamic Projective Spatial Transformer Network for 6D Pose EstimationCode1
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose EstimationCode1
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approachCode1
FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose EstimationCode1
Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation NetworksCode1
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point CloudsCode1
DeepIM: Deep Iterative Matching for 6D Pose EstimationCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose EstimationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ICG+ADDS AUC97.9Unverified
2FFB6DADDS AUC96.6Unverified
3ICGADDS AUC96.5Unverified
4PVN3DADDS AUC96.1Unverified
5se3-TrackNetADDS AUC95.71Unverified
6CMCL6DADDS AUC95.43Unverified
7DTTD-Net w/o refinerADDS AUC94.19Unverified
8MaskedFusionADDS AUC93.3Unverified
9DenseFusionADDS AUC93.1Unverified
10PoseCNN+ICPADDS AUC93Unverified
#ModelMetricClaimedVerifiedStatus
16D OBJECT POSE TRACKING IN INTERNET VIDEOS FOR ROBOTIC MANIPULATIONAR CoU52.1Unverified
2MegaPose-RGBD (refined)ADD AUC49.02Unverified
3GigaPoseAR CoU39.32Unverified
4FoundPoseAR CoU31.32Unverified
5MegaPose-RGBD (Coarse)AR CoU13.72Unverified
#ModelMetricClaimedVerifiedStatus
1FFB6DAccuracy (ADD)99.7Unverified
2PVN3DAccuracy (ADD)99.4Unverified
3GPV-PoseMean ADD-S98.2Unverified
4MaskedFusionAccuracy (ADD)97.8Unverified
5DenseFusionAccuracy (ADD)94.3Unverified
#ModelMetricClaimedVerifiedStatus
1ICG+AUC17.57Unverified
2ICGAUC16.54Unverified
#ModelMetricClaimedVerifiedStatus
1VISAPP BaselineeRE0.2Unverified