Data Card for 3DDFA-V3

This repository provides the data used in CVPR2024 (Highlight) paper 3DDFA_V3. Please see our github repository for details.

Assets Summary

assets
├── face_model.npy              # (face model)
├── large_base_net.pth
├── net_recon.pth               # (backbone)
├── retinaface_resnet50_2020-07-20_old_torch.pth
├── similarity_Lm3D_all.mat
├── indices_38365_35709.npy     # (optional)
├── indices_53215_35709.npy     # (optional)
├── indices_53215_38365.npy     # (optional)
├── indices_53490_35709.npy     # (optional)
├── meanshape-68ldms.obj        # (optional)
├── meanshape-106ldms.obj       # (optional)
├── meanshape-134ldms.obj       # (optional)
├── meanshape-parallel.obj      # (optional)
└── meanshape-seg.obj           # (optional)

Dataset Summary

data
├── mouth_open.zip              #  96,152
├── ugly_mouth.zip              #  72,114
├── frown.zip                   # 216,342
├── eye_close.zip               #  72,114
├── mouth+eye_close.zip         #  96,152
└── nose.zip                    #  24,038

Citation

If you use our work in your research, please cite our publication:

@article{wang20233d,
  title={3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation},
  author={Wang, Zidu and Zhu, Xiangyu and Zhang, Tianshuo and Wang, Baiqin and Lei, Zhen},
  journal={arXiv preprint arXiv:2312.00311},
  year={2023}
}