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3D Morphable Models and Beyond (Dagstuhl Seminar 22121)

Authors: James Gardner, Bernhard Egger, William Smith, Christian Theobalt, and Stefanie Wuhrer

Published in: Dagstuhl Reports, Volume 12, Issue 3 (2022)

Abstract

3D Morphable Models are models separating shape from appearance variation. Typically, they are used as a statistical prior in computer graphics and vision. Recent success with neural representations have caused a resurgence of interest in visual computing problems, leading to more accurate, higher fidelity, more expressive, and memory-efficient solutions. This report documents the program and the outcomes of Dagstuhl Seminar 22121, "3D Morphable Models and Beyond". This meeting of 39 researchers covered various topics, including 3D morphable models, implicit neural representations, physics-inspired approaches, and more. We summarise the discussions, presentations and results of this workshop.

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James Gardner, Bernhard Egger, William Smith, Christian Theobalt, and Stefanie Wuhrer. 3D Morphable Models and Beyond (Dagstuhl Seminar 22121). In Dagstuhl Reports, Volume 12, Issue 3, pp. 97-116, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@Article{gardner_et_al:DagRep.12.3.97,
  author =	{Gardner, James and Egger, Bernhard and Smith, William and Theobalt, Christian and Wuhrer, Stefanie},
  title =	{{3D Morphable Models and Beyond (Dagstuhl Seminar 22121)}},
  pages =	{97--116},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{12},
  number =	{3},
  editor =	{Gardner, James and Egger, Bernhard and Smith, William and Theobalt, Christian and Wuhrer, Stefanie},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.12.3.97},
  URN =		{urn:nbn:de:0030-drops-172701},
  doi =		{10.4230/DagRep.12.3.97},
  annote =	{Keywords: 3D Computer Vision, Generative Models, Neural Rendering, Implicit Representations, Computer Graphics, Statistical Modelling}
}

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DOI: 10.4230/DagRep.9.3.16

3D Morphable Models (Dagstuhl Seminar 19102)

Authors: Bernhard Egger, William Smith, Christian Theobalt, and Thomas Vetter

Published in: Dagstuhl Reports, Volume 9, Issue 3 (2019)

Abstract

3D Morphable Models is a statistical object model separating shape from appearance variation. Typically, they are used as a statistical prior in computer graphics and vision. This report summarizes the Dagstuhl seminar on 3D Morphable Models, March 3-8, 2019. It was a first specific meeting of a broader group of people working with 3D Morphable Models of faces and bodies. This meeting of 26 researchers was held 20 years after the seminal work was published at Siggraph. We summarize the discussions, presentations and results of this workshop.

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Bernhard Egger, William Smith, Christian Theobalt, and Thomas Vetter. 3D Morphable Models (Dagstuhl Seminar 19102). In Dagstuhl Reports, Volume 9, Issue 3, pp. 16-38, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Article{egger_et_al:DagRep.9.3.16,
  author =	{Egger, Bernhard and Smith, William and Theobalt, Christian and Vetter, Thomas},
  title =	{{3D Morphable Models (Dagstuhl Seminar 19102)}},
  pages =	{16--38},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{9},
  number =	{3},
  editor =	{Egger, Bernhard and Smith, William and Theobalt, Christian and Vetter, Thomas},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.3.16},
  URN =		{urn:nbn:de:0030-drops-112894},
  doi =		{10.4230/DagRep.9.3.16},
  annote =	{Keywords: 3D Computer Vision, Analysis-by-Synthesis, Computer Graphics, Generative Models, Statistical Modelling}
}

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Documents authored by Egger, Bernhard

3D Morphable Models and Beyond (Dagstuhl Seminar 22121)

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3D Morphable Models (Dagstuhl Seminar 19102)

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