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Published June 19, 2024 | Version v1
Dataset Open

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Synthetic data

  • 1. ROR icon École Polytechnique Fédérale de Lausanne

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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Here we provide the data of our article "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields". It contains the preprocessed SDF samples. Meanwhile, we also include rendered data for HO3Dv2 here. 

The overall structure of the data is:

├── render_sdf_ho3d.zip                              - Contains the processed SDF files for HO3Dv2 rendered images.
├── train_ho3d.zip                                       - Contains the processed SDF files for HO3Dv2 training set.
├── full_test_dexycb.zip                               - Contains the processed SDF files for DexYCB full test set.
 

The code to reproduce the results is available at: https://github.com/amathislab/HOISDF
 
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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

full_test_dexycb.zip

Files (171.7 GB)

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md5:652526a621469bdb4079ccec1cc83c86
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Additional details

Dates

Accepted
2024
CVPR2024