Processed data and trained models for "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields"
Description
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HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields, CVPR 2024
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Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis.
Affiliation: EPFL
Date: June, 2024
Link to the CVPR article: https://openaccess.thecvf.com/content/CVPR2024/papers/Qi_HOISDF_Constraining_3D_Hand-Object_Pose_Estimation_with_Global_Signed_Distance_CVPR_2024_paper.pdf
Link to the Arxiv article: https://arxiv.org/abs/2402.17062
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If you find our code, weights, predictions or ideas useful, please cite:
@inproceedings{qi2024hoisdf,
title={HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields},
author={Qi, Haozhe and Zhao, Chen and Salzmann, Mathieu and Mathis, Alexander},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={10392--10402},
year={2024}
}
Files
annotations.zip
Files
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Additional details
Related works
- Documents
- Publication: arXiv:2402.17062 (arXiv)
- Publication: https://openaccess.thecvf.com/content/CVPR2024/papers/Qi_HOISDF_Constraining_3D_Hand-Object_Pose_Estimation_with_Global_Signed_Distance_CVPR_2024_paper.pdf (Other)
- Publication: 10.1109/CVPR52733.2024.00989 (DOI)
Dates
- Accepted
-
2024CVPR2024