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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 31–40 of 233 papers

TitleStatusHype
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose EstimationCode1
SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose EstimationCode1
Coupled Iterative Refinement for 6D Multi-Object Pose EstimationCode1
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to OcclusionsCode1
FS6D: Few-Shot 6D Pose Estimation of Novel ObjectsCode1
RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose OptimizationCode1
Occlusion-Aware Self-Supervised Monocular 6D Object Pose EstimationCode1
Perspective Flow Aggregation for Data-Limited 6D Object Pose EstimationCode1
GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise VotingCode1
OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose EstimationCode1
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