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Michael Zollhoefer
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The goal of my research is to enable fully immersive remote communication and interaction in the virtual world at a level that is indistinguishable from reality. One challenge is photo-realistic digitization and efficient rendering of digital humans. I develop key technology that combines fundamental computer vision, machine learning, and graphics techniques in a new neural capture and rendering paradigm. I believe that these novel neural rendering techniques will bring immersive communication in virtual and augmented reality one step closer to reality, and thus completely change the way we communicate in the future.
Papers77 papers
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Ziyan Wang,Timur Bagautdinov,Stephen Lombardi, Tomas Simon,Jason Saragih, Jessica Hodgins,Michael Zollhöfer
ACM Transactions on Graphics, no. 6 (2020): 1-14
european conference on computer vision, pp.293-309, (2020)
NIPS 2020, (2020)
CVPR, pp.6141-6150, (2020)
ICLR, (2020)
Tewari Ayush,Fried Ohad,Thies Justus, Sitzmann Vincent,Lombardi Stephen,Sunkavalli Kalyan,Martin-Brualla Ricardo, Simon Tomas,Saragih Jason,Nießner Matthias, Pandey Rohit, Fanello Sean
Comput. Graph. Forum, no. 2 (2020): 701-727
CVPR, pp.5051-5062, (2020)
IEEE Trans. Vis. Comput. Graph., (2019)
CVPR, pp.7000-7010, (2019)
Egger Bernhard, Smith William A. P.,Tewari Ayush,Wuhrer Stefanie,Zollhoefer Michael,Beeler Thabo,Bernard Florian,Bolkart Timo,Kortylewski Adam, Romdhani Sami,Theobalt Christian,Blanz Volker
ACM Trans. Graph., no. 5 (2019): 1-38
european conference on computer vision, pp.601-617, (2019)
Weipeng Xu, Avishek Chatterjee,Michael Zollhöfer,Helge Rhodin,Pascal Fua,Hans-Peter Seidel, Christian Theobalt
IEEE Transactions on Visualization and Computer Graphics, no. 5 (2019): 2093-2101
Bibtex
ACM Transactions on Graphics (TOG), no. 6 (2019): 178
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