The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Rendering, Algorithm and Animation. His Facial expression, Eye tracking and Computer graphics study in the realm of Artificial intelligence connects with subjects such as Facial motion capture. His Computer vision research is multidisciplinary, relying on both Advanced driver assistance systems and Visibility.
His Rendering study is associated with Computer graphics. His work deals with themes such as Discretization, Planar, Bounded function and Oracle, which intersect with Algorithm. His Animation research includes themes of Drag, Turbulence, Simulation and Boundary value problem.
Marc Stamminger mainly focuses on Artificial intelligence, Computer vision, Computer graphics, Rendering and Computer graphics. His Artificial intelligence study frequently draws connections to adjacent fields such as Computation. His Computer vision study integrates concerns from other disciplines, such as Visualization and Polygon mesh.
His Rendering research integrates issues from Algorithm, Graphics, Software rendering and Subdivision surface. His biological study spans a wide range of topics, including Facial expression, Virtual reality and Gaze. The concepts of his Tessellation study are interwoven with issues in Tessellation and Displacement mapping.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Rendering, Computer graphics and Augmented reality. His Artificial intelligence study frequently draws connections between related disciplines such as Motion. His multidisciplinary approach integrates Computer vision and TRACE in his work.
His studies examine the connections between Rendering and genetics, as well as such issues in Virtual reality, with regards to Software engineering, Software and Compiler. His work focuses on many connections between Computer graphics and other disciplines, such as Visualization, that overlap with his field of interest in Interface. The various areas that Marc Stamminger examines in his Augmented reality study include Physically based rendering, Light field, Embedded system and Data visualization.
His primary areas of investigation include Computer vision, Artificial intelligence, Rendering, Photogrammetry and Deformation. His Computer vision study frequently links to related topics such as Vector field. His Virtual reality, Contrast, Solid modeling, Image processing and Object study are his primary interests in Artificial intelligence.
His work on Path tracing as part of his general Rendering study is frequently connected to Stability, thereby bridging the divide between different branches of science. His Photogrammetry study combines topics in areas such as Bidirectional reflectance distribution function and Reflectivity. His studies deal with areas such as Artificial neural network, Image warping and Digital reproduction as well as RGB color model.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Real-time 3D reconstruction at scale using voxel hashing
Matthias Nießner;Michael Zollhöfer;Shahram Izadi;Marc Stamminger.
international conference on computer graphics and interactive techniques (2013)
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
Justus Thies;Michael Zollhofer;Marc Stamminger;Christian Theobalt.
computer vision and pattern recognition (2016)
Perspective shadow maps
Marc Stamminger;George Drettakis.
international conference on computer graphics and interactive techniques (2002)
Reflective shadow maps
Carsten Dachsbacher;Marc Stamminger.
interactive 3d graphics and games (2005)
Real-time non-rigid reconstruction using an RGB-D camera
Michael Zollhöfer;Matthias Nießner;Shahram Izadi;Christoph Rehmann.
international conference on computer graphics and interactive techniques (2014)
Sequential point trees
Carsten Dachsbacher;Christian Vogelgsang;Marc Stamminger.
international conference on computer graphics and interactive techniques (2003)
Interactive visualization of complex plant ecosystems
Oliver Deussen;Carsten Colditz;Marc Stamminger;George Drettakis.
ieee visualization (2002)
Face2Face: real-time face capture and reenactment of RGB videos
Justus Thies;Michael Zollhöfer;Marc Stamminger;Christian Theobalt.
Communications of The ACM (2018)
Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations
Falko Matern;Christian Riess;Marc Stamminger.
2019 IEEE Winter Applications of Computer Vision Workshops (WACVW) (2019)
Real-time expression transfer for facial reenactment
Justus Thies;Michael Zollhöfer;Matthias Nießner;Levi Valgaerts.
international conference on computer graphics and interactive techniques (2015)
Profile was last updated on December 6th, 2021.
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