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+ # Dataset Card for 3DDFA-V3
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+ This is the synthetic facial expression dataset used in [3DDFA_V3](https://arxiv.org/abs/2312.00311) in [CVPR2024 (Highlight)](https://cvpr.thecvf.com/Conferences/2024/AcceptedPapers). Please see our [github repository](https://github.com/wang-zidu/3DDFA-V3/).
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+ ## Dataset Summary
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+
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+ ```
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+ data
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+ ├── mouth_open.zip # 96,152
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+ ├── ugly_mouth.zip # 72,114
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+ ├── frown.zip # 216,342
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+ ├── eye_close.zip # 72,114
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+ ├── mouth+eye_close.zip # 96,152
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+ └── nose.zip # 24,038
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+ ```
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+
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+ Our method for facial expression synthesis is capable of generating the desired expressions in a controlled, large-scale, and rapid manner. Currently, we have generated more than 500K samples of expression data. Please note that there may be some incorrect expressions in the data, and the users should filter them according to their own needs (only for research usage).
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+ ## Citation
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+ If you use our work in your research, please cite our publication:
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+ ```
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+ @article{wang20233d,
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+ title={3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation},
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+ author={Wang, Zidu and Zhu, Xiangyu and Zhang, Tianshuo and Wang, Baiqin and Lei, Zhen},
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+ journal={arXiv preprint arXiv:2312.00311},
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+ year={2023}
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+ }
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+ ```