Vision Tomography: Towards Portable 3D Bidirectional Face-Skull Inference from Visual Data
Paper • 2610.38065 • Published • 1
The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
Geometry models and fixed-order registration templates for BFSM.
| File | Contents |
|---|---|
assets/models/fsmm_200.npz |
Face–Skull Morphable Model (FSMM), 200 principal components |
assets/models/tmm_200.npz |
Tissue Morphable Model (TMM), 200 principal components |
assets/templates/muFACE.obj |
Corresponding face template, 35,709 vertices |
assets/templates/muSKULL.obj |
Corresponding skull template, 23,207 vertices |
Download these four files into their matching paths in the BFSM checkout. Example inputs and reference outputs are included in the GitHub repository. Follow the asset setup guide for download commands and separately obtained provider assets.
The models and templates are provided under the BFSM Research License.
@misc{wang2025bfsm,
title={BFSM: 3D Bidirectional Face-Skull Morphable Model},
author={Zidu Wang and Meng Xu and Miao Xu and Hengyuan Ma and Jiankuo Zhao and Xutao Li and Xiangyu Zhu and Zhen Lei},
year={2025},
eprint={2509.24577},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2509.24577}
}
@misc{wang2026visiontomographyportable3d,
title={Vision Tomography: Towards Portable 3D Bidirectional Face-Skull Inference from Visual Data},
author={Zidu Wang and Meng Xu and Miao Xu and Hengyuan Ma and Jiankuo Zhao and Xutao Li and Zhen Lei and Xiangyu Zhu},
year={2026},
eprint={2610.38065},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2610.38065}
}
@misc{xu2026telecranio,
title={Tele-Cranio: A CT-free AI Solution for Remote Diagnosis and Planning of Craniomaxillofacial Deformities},
author={Meng Xu and Zidu Wang and Lei Zhang and Chuanqi Qin and Xiaole Wang and Jiayu Zhou and Zhen Lei and Hengyuan Ma and Tao Song and Xiangyu Zhu},
year={2026},
doi={10.21203/rs.3.rs-10262203/v1},
url={https://www.researchsquare.com/article/rs-10262203/v1}
}