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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 11–20 of 233 papers

TitleStatusHype
Multi-Modal 3D Mesh Reconstruction from Images and Text—0
AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation—0
Improving 6D Object Pose Estimation of metallic Household and Industry Objects—0
EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation—0
Enhancing Transparent Object Pose Estimation: A Fusion of GDR-Net and Edge Detection—0
HIPPo: Harnessing Image-to-3D Priors for Model-free Zero-shot 6D Pose Estimation—0
ONDA-Pose: Occlusion-Aware Neural Domain Adaptation for Self-Supervised 6D Object Pose Estimation—0
Pos3R: 6D Pose Estimation for Unseen Objects Made Easy—0
SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow—0
A Novel Convolution and Attention Mechanism-based Model for 6D Object Pose Estimation—0
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