Synthetic data (Part 1) for "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields"

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

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}}