Professor Nießner (b. 1986) studied computer science at the Friedrich-Alexander-Universität Erlangen-Nürnberg and received his Diploma degree in 2010. He then began his doctoral research under the supervision of Professor Günther Greiner. His thesis on the topic of “Subdivision Surface Rendering using Hardware Tessellation” was submitted in 2013 and was awarded the highest honors. From 2013 to 2017 Professor Nießner was a visiting assistant professor at Stanford University. Since 2017 he has been a professor at TUM, where he heads the Visual Computing Lab.
2018, ERC Starting Grant
2016, SIGGRAPH’16: Best Emerging Technologies Award for the Face2Face Live Demo
2013, MPC-VCC Fellowship: Research group funding, including 2 PhDs, over 2 years
2010, ASQF advancement award for excellent graduation, Diploma thesis
Prof. Nießner‘s research focuses on the area of 3D digitization at the intersection between Computer Graphics, Computer Vision, and Artificial Intelligence. The main theme of this research is to obtain 3D models of real-world environments captured by video and range cameras. In this context, the main focus lies on the representation of the obtained 3D geometry, as well as the processing and its analysis by leveraging cutting-edge machine learning techniques (e.g., Deep Learning). In addition to the analysis of semantic understanding of 3D environments, which is a key element of modern robotics, the research in the Visual Computing Lab touches many fascinating applications, including the editing of videos, numerical optimization, and many more.
Dai A, Chang A, Savva M, Halber M, Funkhouser T, Nießner M: "ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes". CVPR. Honolulu, HI, USA. 22.-25.07.2017.
Thies J, Zollhöfer M, Stamminger M, Theobalt C, Nießner M: "Face2Face: Real-time Face Capture and Reenctment of RGB Videos". CVPR. Las Vegas, NV, USA. 27.-30.06.2016: 2387-2395.
Zollhöfer M, Nießner M, Izadi S, Rhemann C, Zach C, Fisher M, Wu C, Fitzgibbon A, Loop C, Theobalt C, Stamminger M: "Real-time Non-rigid Reconstruction using an RGB-D Camera". ACM Transactions on Graphics. 2014; 33(4): 156-168.
Nießner M, Zollhöfer M, Izadi S, Stamminger M: "Voxel Hashing". ACM Transactions on Graphics. 2013; 32(6): 169-180.
Nießner M, Loop C, Meyer M, DeRose T: "Feature Adaptive GPU Rendering of Catmull-Clark Subdivision Surfaces". ACM Transactions on Graphics. 2012; 31(1): 6-17.
Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, Michael Zollhöfer: DeepVoxels: Learning Persistent 3D Feature Embeddings. 2018 more…
Zollhöfer, M.; Thies, J.; Garrido, P.; Bradley, D.; Beeler, T.; Pérez, P.; Stamminger, M.; Nießner, M.; Theobalt, C.: State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications. Computer Graphics Forum 37 (2), 2018, 523-550 more…
Zollhöfer, Michael; Stotko, Patrick; Görlitz, Andreas; Theobalt, Christian; Nießner, Matthias; Klein, Reinhard; Kolb, Andreas: State of the Art on 3D Reconstruction with RGB-D Cameras. Computer Graphics Forum 37 (2), 2018, 625-652 more…