mlsanityData to 14 Oct 2026

An Implicit Parametric Morphable Dental Model

arXiv 2211.11402 ↗First posted 21 Nov 2022cs.CVcited by 12

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Abstract (arXiv)

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/

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 32 of its 65 references that are in the map. First posted on arXiv 21 Nov 2022.

Builds on

32 of 65 references.

References · 32

  1. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,689
  2. 2020Implicit Neural Representations with Periodic Activation Functionscited by 2,238
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20 more
  1. 2022Embodied Hands: Modeling and Capturing Hands and Bodies Togethercited by 181
  2. 2018Deep Appearance Models for Face Renderingcited by 164
  3. 2019NASA: Neural Articulated Shape Approximationcited by 149
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  6. 2021A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representationcited by 114
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  8. 2021imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Posecited by 103
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  12. 2022ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representationscited by 64
  13. 2022LISA: Learning Implicit Shape and Appearance of Handscited by 63
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  19. 2022Teeth3DS+: An Extended Benchmark for Intraoral 3D Scans Analysiscited by 11
  20. 2018Building Anatomically Realistic Jaw Kinematics Model from Datacited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 5; 2024: 3; 2025: 1; 2026: 3.

12 papers.