An Implicit Parametric Morphable Dental Model
Congyi Zhang, Mohamed Elgharib, Gereon Fox, Min Gu, Christian, Theobalt, Wenping Wang

TL;DR
This paper introduces the first implicit parametric 3D dental model capturing both teeth and gum, enabling advanced reconstruction, segmentation, and editing applications with high quality.
Contribution
It presents a novel implicit scene representation for a comprehensive dental model including teeth and gum, learned from aligned scans, with component-wise and latent code representations.
Findings
Reconstruction quality matches state-of-the-art implicit models
Enables applications like segmentation, interpolation, and tooth replacement
First model to include both teeth and gum in a parametric 3D dental model
Abstract
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. Project page: https://vcai.mpi-inf.mpg.de/projects/DMM/
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