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Documents authored by Theobalt, Christian

Document
DOI: 10.4230/DagRep.12.3.97
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.
Cite as

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}
}
Document
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.
Cite as

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}
}
Document
DOI: 10.4230/DagRep.3.10.72
Real-World Visual Computing (Dagstuhl Seminar 13431)

Authors: Oliver Grau, Marcus A. Magnor, Olga Sorkine-Hornung, and Christian Theobalt

Published in: Dagstuhl Reports, Volume 3, Issue 10 (2014)

Abstract
Over the last decade, the tremendous increase in computational power of graphics hardware, in conjunction with equally improved rendering algorithms, have led to the situation today where real-time visual realism is computationally attainable on almost any PC, if only the digital models to be rendered were sufficiently detailed and realistic. With rapidly advancing rendering capabilities, the modeling process has become the limiting factor in realistic computer graphics applications. Following the traditional rendering paradigm, higher visual realism can be attained only by providing more detailed and accurate scene descriptions. However, building realistic digital scene descriptions consisting of 3D geometry and object texture, surface reflectance characteristics and scene illumination, character motion and emotion is a highly labor-intensive, tedious process. Goal of this seminar is to find new ways to overcome the looming stalemate in realistic rendering caused by traditional, time-consuming modeling. One promising alternative consists of creating digital models from real-world examples if ways can be found how to endow reconstructed models with the flexibility customary in computer graphics. The trend towards model capture from real-world examples is bolstered by new sensor technologies becoming available at mass-market prices, such as Microsoft's Kinect and time-of-flight 2D depth imagers, or Lytro's Light Field camera. Also, the pervasiveness of smart-phones containing camera, GPS and orientation sensors allows for developing new capturing paradigms of real-world events based on a swarm of networked smart-phones. With the advent of these exciting new acquisition technologies, investigating how to best integrate these novel capture modalities into the digital modeling pipeline or how to alter traditional modeling to make optimal use of new capture technologies, has become a top priority in visual computing research. To address these challenges, interdisciplinary approaches are called for that encompass computer graphics, computer vision, and visual media production. The overall goal of the seminar is to form a lasting, interdisciplinary research community which jointly identifies and addresses the challenges in modeling from the real world and determines which research avenues will be the most promising ones to pursue over the course of the next years.
Cite as

Oliver Grau, Marcus A. Magnor, Olga Sorkine-Hornung, and Christian Theobalt. Real-World Visual Computing (Dagstuhl Seminar 13431). In Dagstuhl Reports, Volume 3, Issue 10, pp. 72-91, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@Article{grau_et_al:DagRep.3.10.72,
  author =	{Grau, Oliver and Magnor, Marcus A. and Sorkine-Hornung, Olga and Theobalt, Christian},
  title =	{{Real-World Visual Computing (Dagstuhl Seminar 13431)}},
  pages =	{72--91},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{3},
  number =	{10},
  editor =	{Grau, Oliver and Magnor, Marcus A. and Sorkine-Hornung, Olga and Theobalt, Christian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.3.10.72},
  URN =		{urn:nbn:de:0030-drops-44322},
  doi =		{10.4230/DagRep.3.10.72},
  annote =	{Keywords: Image Aquisition, Scene Modeling/Rendering, Image/3D Sensors, Photorealism, Visual Effects, Motion Reconstruction, Animation}
}
Document
DOI: 10.4230/DagRep.2.10.79
Time-of-Flight Imaging: Algorithms, Sensors and Applications (Dagstuhl Seminar 12431)

Authors: James Davis, Bernd Jähne, Andreas Kolb, Ramesh Raskar, and Christian Theobalt

Published in: Dagstuhl Reports, Volume 2, Issue 10 (2013)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 12431 "Time-of-Flight Imaging: Algorithms, Sensors and Applications". The seminar brought together researchers with diverse background from both academia and industry to discuss various aspects of Time-of-Flight imaging and general depth sensors. The executive summary and abstracts of the talks given during the seminar as well as the outcome of several working groups on specific research topics are presented in this report.
Cite as

James Davis, Bernd Jähne, Andreas Kolb, Ramesh Raskar, and Christian Theobalt. Time-of-Flight Imaging: Algorithms, Sensors and Applications (Dagstuhl Seminar 12431). In Dagstuhl Reports, Volume 2, Issue 10, pp. 79-104, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@Article{davis_et_al:DagRep.2.10.79,
  author =	{Davis, James and J\"{a}hne, Bernd and Kolb, Andreas and Raskar, Ramesh and Theobalt, Christian},
  title =	{{Time-of-Flight Imaging: Algorithms, Sensors and Applications (Dagstuhl Seminar 12431)}},
  pages =	{79--104},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2013},
  volume =	{2},
  number =	{10},
  editor =	{Davis, James and J\"{a}hne, Bernd and Kolb, Andreas and Raskar, Ramesh and Theobalt, Christian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.2.10.79},
  URN =		{urn:nbn:de:0030-drops-39044},
  doi =		{10.4230/DagRep.2.10.79},
  annote =	{Keywords: Time-of-Flight, Kinect^TM, depth sensor}
}
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