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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 51–60 of 233 papers

TitleStatusHype
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approachCode1
CosyPose: Consistent multi-view multi-object 6D pose estimationCode1
se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic DomainsCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
Self6D: Self-Supervised Monocular 6D Object Pose EstimationCode1
EPOS: Estimating 6D Pose of Objects with SymmetriesCode1
G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector FeaturesCode1
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive HandsCode1
Robust 6D Object Pose Estimation by Learning RGB-D FeaturesCode1
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