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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 26–50 of 233 papers

TitleStatusHype
GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation—0
GS2Pose: Two-stage 6D Object Pose Estimation Guided by Gaussian Splatting—0
CVAM-Pose: Conditional Variational Autoencoder for Multi-Object Monocular Pose EstimationCode0
Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose EstimationCode1
FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose Estimation—0
End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation—0
From Words to Poses: Enhancing Novel Object Pose Estimation with Vision Language Models—0
Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods—0
NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD ModelsCode1
NeRF-Feat: 6D Object Pose Estimation using Feature Rendering—0
Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking—0
Sparse Color-Code Net: Real-Time RGB-Based 6D Object Pose Estimation on Edge Devices—0
Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose EstimationCode2
YOLOv5-6D: Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging GeometriesCode2
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data—0
GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel Objects—0
GS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splatting—0
BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects—0
Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation—0
Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation—0
Real-time Holistic Robot Pose Estimation with Unknown StatesCode1
Extending 6D Object Pose Estimators for Stereo Vision—0
6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation—0
Three-Filters-to-Normal+: Revisiting Discontinuity Discrimination in Depth-to-Normal Translation—0
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel ObjectsCode4
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