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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 41–50 of 233 papers

TitleStatusHype
DR-Pose: A Two-stage Deformation-and-Registration Pipeline for Category-level 6D Object Pose EstimationCode1
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approachCode1
Coupled Iterative Refinement for 6D Multi-Object Pose EstimationCode1
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size EstimationCode1
FS6D: Few-Shot 6D Pose Estimation of Novel ObjectsCode1
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)Code1
Generating Annotated Training Data for 6D Object Pose Estimation in Operational Environments with Minimal User InteractionCode1
GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise VotingCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose EstimationCode1
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