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Cafca Synthetic Face Dataset

A large-scale, diverse multiview face dataset for avatar reconstruction and animation, face parsing, synthetic-to-real transfer learning, animation, relighting, camera estimation, and more.

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Dataset Facts

  • 1,755 Mio. images
  • 1,500 diverse identities x 13 expressions x 3 environments x 30 views
  • Resolution 512x512
  • Annotations for 14 semantic regions
  • Perspective OpenCV cameras
  • Pseudo-GT keypoints and FLAME 2023 annotations & meshes (fitted with VHAP)
  • CC BY-NC-SA 4.0 License

Dataset Samples

Image
VHAP Fitting Result

Acknowledgements

We thank Shenhan Qian for providing the photometric optimization pipeline VHAP.








If you find this dataset useful, please consider citing:
@incollection{buehler2024cafca,
    title={Cafca: High-quality Novel View Synthesis of Expressive Faces from Casual Few-shot Captures},
    author={Marcel C. Buehler and Gengyan Li and Erroll Wood and Leonhard Helminger and Xu Chen and Tanmay Shah and Daoye Wang and Stephan Garbin and Sergio Orts-Escolano and Otmar Hilliges and Dmitry Lagun and Jérémy Riviere and Paulo Gotardo and Thabo Beeler and Abhimitra Meka and Kripasindhu Sarkar},
    year={2024},
    booktitle={ACM SIGGRAPH Asia 2024 Conference Paper},
    doi={10.1145/3680528.3687580},
    url={https://doi.org/10.1145/3680528}
}