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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
DeepIM: Deep Iterative Matching for 6D Pose EstimationCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)Code1
Coupled Iterative Refinement for 6D Multi-Object Pose EstimationCode1
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
FS6D: Few-Shot 6D Pose Estimation of Novel ObjectsCode1
BOP: Benchmark for 6D Object Pose EstimationCode1
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose EstimationCode1
Generating Annotated Training Data for 6D Object Pose Estimation in Operational Environments with Minimal User InteractionCode1
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose EstimationCode1
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