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GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)

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GDR-Net

This repo provides the PyTorch implementation of the work:

Gu Wang, Fabian Manhardt, Federico Tombari, Xiangyang Ji. GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. In CVPR 2021. [ArXiv]

Code will be coming soon.

Citing

If you find this useful in your research, please consider citing:

@InProceedings{Wang_2021_GDRN,
author = {Gu Wang, Fabian Manhardt, Federico Tombari, Xiangyang Ji},
title = {{GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation}},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2021}
}

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GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)

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