6D Pose Estimation

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FocalPose++: Estimating Camera Focal Length and Object Pose from a Single Image Using a Render-and-Compare Approach

FocalPose++ is a novel method that accurately estimates both camera focal length and object pose from a single RGB image by extending the render-and-compare approach with focal length update rules, a disentangled training loss, and a synthetic data generation strategy based on real data distributions.

TransPose: 6D Object Pose Estimation with Geometry-Aware Transformer

The proposed TransPose framework exploits Transformer Encoder with a geometry-aware module to develop better learning of point cloud feature representations for accurate 6D object pose estimation.

SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D Pose Estimation In Bin-picking Scenarios

Proposing SD-Net for accurate 6D pose estimation in bin-picking scenarios through symmetric-aware keypoint prediction and domain adaptation.

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