SOTAVerified

6D Pose Estimation

Image: Zeng et al

Papers

Showing 150 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
Vision6D: 3D-to-2D Interactive Visualization and Annotation Tool for 6D Pose EstimationCode2
GigaPose: Fast and Robust Novel Object Pose Estimation via One CorrespondenceCode2
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose OptimizationCode2
MegaPose: 6D Pose Estimation of Novel Objects via Render & CompareCode2
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging GeometriesCode2
Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless ObjectsCode2
OnePose: One-Shot Object Pose Estimation without CAD ModelsCode2
Fusing Visual Appearance and Geometry for Multi-modality 6DoF Object TrackingCode2
RGBTrack: Fast, Robust Depth-Free 6D Pose Estimation and TrackingCode2
BOP Challenge 2020 on 6D Object LocalizationCode2
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size EstimationCode2
HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic ScenariosCode1
GBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly GuidanceCode1
Novel Object 6D Pose Estimation with a Single Reference ViewCode1
Neural Object Learning for 6D Pose Estimation Using a Few Cluttered ImagesCode1
G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector FeaturesCode1
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size EstimationCode1
Occlusion-Aware Self-Supervised Monocular 6D Object Pose EstimationCode1
Linear-Covariance Loss for End-to-End Learning of 6D Pose EstimationCode1
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression FrameworkCode1
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D ObjectsCode1
FS6D: Few-Shot 6D Pose Estimation of Novel ObjectsCode1
MarkerPose: Robust Real-time Planar Target Tracking for Accurate Stereo Pose EstimationCode1
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation MechanismCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
GDRNPP: A Geometry-guided and Fully Learning-based Object Pose EstimatorCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise VotingCode1
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose EstimationCode1
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose EstimationCode1
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose EstimationCode1
DeepIM: Deep Iterative Matching for 6D Pose EstimationCode1
PCKRF: Point Cloud Completion and Keypoint Refinement With Fusion Data for 6D Pose EstimationCode1
DCL-Net: Deep Correspondence Learning Network for 6D Pose EstimationCode1
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point CloudsCode1
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic GraspingCode1
CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in SpaceCode1
BOP: Benchmark for 6D Object Pose EstimationCode1
Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation NetworksCode1
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approachCode1
DProST: Dynamic Projective Spatial Transformer Network for 6D Pose EstimationCode1
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
FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose EstimationCode1
CosyPose: Consistent multi-view multi-object 6D pose estimationCode1
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose EstimationCode1
On Object Symmetries and 6D Pose Estimation from ImagesCode1
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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