An Implicit Parametric Morphable Dental Model

ACM Transactions on Graphics (SIGGRAPH Asia 2022)


3D Morphable models of the human body capture variations among subjects and are useful in reconstruction and editing applications. Current dental models use an explicit mesh scene representation and model only the teeth, ignoring the gum. In this work, we present the first parametric 3D morphable dental model for both teeth and gum. Our model uses an implicit scene representation and is learned from rigidly aligned scans. It is based on a component-wise representation for each tooth and the gum, together with a learnable latent code for each of such components. It also learns a template shape thus enabling several applications such as segmentation, interpolation and tooth replacement. Our reconstruction quality is on par with the most advanced global implicit representations while enabling novel applications.



BibTeX, 1 KB

  title={An Implicit Parametric Morphable Dental Model},
  author={Zhang, Congyi and Elgharib, Mohamed and Fox, Gereon and Gu, Min and Theobalt, Christian and Wang, Wenping},
  journal={ACM Transactions on Graphics},


This work is partially supported by the ERC Consolidator Grant 4DRepLy (770784), GRF grants (17210419 and 17212120) from the RGC of Hong Kong and by Seed Fund for Basic Research (202111159232) from Hong Kong.


For questions, clarifications, please get in touch with: Congyi Zhang

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