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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 21–30 of 233 papers

TitleStatusHype
Rigidity-Aware Detection for 6D Object Pose EstimationCode1
Linear-Covariance Loss for End-to-End Learning of 6D Pose EstimationCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose EstimationCode1
Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose EstimationCode1
PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose EstimationCode1
Video based Object 6D Pose Estimation using TransformersCode1
CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement TransformersCode1
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the WildCode1
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose EstimationCode1
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