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}}
809569b7-7877-4fcc-9088-136f6f8e4d0d
2024
CC BY
Link to the CVPR article
Link to the Arxiv article
| Event name | Event acronym | Event place | Event date |
Seattle, WA, USA | 2024-06-17 - 2024-06-21 | ||
| Relation | Related work | URL/DOI |
Documents | HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields | |
IsSupplementTo | HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields | |
IsVersionOf | Synthetic data (Part 1) for "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields" | |