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6D Pose Estimation using RGB

6D Pose Estimation using RGB refers to the task of determining the six degree-of-freedom (6D) pose of an object in 3D space based on RGB images. This involves estimating the position and orientation of an object in a scene, and is a fundamental problem in computer vision and robotics. In this task, the goal is to estimate the 6D pose of an object given an RGB image of the object and the scene, which can be used for tasks such as robotic manipulation, augmented reality, and scene reconstruction.

( Image credit: Segmentation-driven 6D Object Pose Estimation )

Papers

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Showing 51–100 of 233 papers

TitleStatusHype
Linear-Covariance Loss for End-to-End Learning of 6D Pose EstimationCode1
Coupled Iterative Refinement for 6D Multi-Object Pose EstimationCode1
Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-PickingCode1
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose EstimationCode1
NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD ModelsCode1
OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose EstimationCode1
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive HandsCode1
DeepIM: Deep Iterative Matching for 6D Pose EstimationCode1
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
PVNet: Pixel-wise Voting Network for 6DoF Pose EstimationCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
DexYCB: A Benchmark for Capturing Hand Grasping of ObjectsCode1
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose EstimationCode1
DR-Pose: A Two-stage Deformation-and-Registration Pipeline for Category-level 6D Object Pose EstimationCode1
Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose EstimationCode1
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approachCode1
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size EstimationCode1
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose EstimationCode1
BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects—0
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation—0
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects—0
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction—0
Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation—0
6D-ViT: Category-Level 6D Object Pose Estimation via Transformer-based Instance Representation Learning—0
6D Object Pose Estimation using Keypoints and Part Affinity Fields—0
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects—0
Object Pose Estimation in Robotics Revisited—0
6D Robotic Assembly Based on RGB-only Object Pose Estimation—0
6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics—0
COPE: End-to-end trainable Constant Runtime Object Pose Estimation—0
ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation—0
AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation—0
Context-aware 6D Pose Estimation of Known Objects using RGB-D data—0
Conscious Inference for Object Detection—0
A Summary of the 4th International Workshop on Recovering 6D Object Pose—0
6D Pose Estimation with Correlation Fusion—0
Classification of Single-View Object Point Clouds—0
KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation—0
Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of In-hand Objects—0
GS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splatting—0
GS2Pose: Two-stage 6D Object Pose Estimation Guided by Gaussian Splatting—0
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators—0
6D Pose Estimation using an Improved Method based on Point Pair Features—0
HIPPo: Harnessing Image-to-3D Priors for Model-free Zero-shot 6D Pose Estimation—0
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data—0
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects—0
HRPose: Real-Time High-Resolution 6D Pose Estimation Network Using Knowledge Distillation—0
Challenges for Monocular 6D Object Pose Estimation in Robotics—0
Going Further with Point Pair Features—0
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