19992024

Research activity per year

Personal profile

Scientific Career

Professor Nießner conducts research into 3D digitization at the juncture between the fields of computer graphics, computer vision, and artificial intelligence. His research is oriented towards the generation of 3D models of real-world environments using video and range cameras (for example with Deep Learning). Research conducted in the Visual Computing Lab is highly varied and includes conducting analyses to further the semantic understanding of the 3D environments, video-editing and numerical optimization.

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.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

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Collaborations and top research areas from the last five years

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  • State of the Art on Diffusion Models for Visual Computing

    Po, R., Yifan, W., Golyanik, V., Aberman, K., Barron, J. T., Bermano, A., Chan, E., Dekel, T., Holynski, A., Kanazawa, A., Liu, C. K., Liu, L., Mildenhall, B., Nießner, M., Ommer, B., Theobalt, C., Wonka, P. & Wetzstein, G., 2024, (Accepted/In press) In: Computer Graphics Forum.

    Research output: Contribution to journalArticlepeer-review

  • TriPlaneNet: An Encoder for EG3D Inversion

    Bhattarai, A. R., Nießner, M. & Sevastopolsky, A., 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. Institute of Electrical and Electronics Engineers Inc., p. 3043-3053 11 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Scopus citations
  • Audio-Visual Person-of-Interest DeepFake Detection

    Cozzolino, D., Pianese, A., Nießner, M. & Verdoliva, L., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society, p. 943-952 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2023-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    7 Scopus citations
  • CAD-Estate: Large-scale CAD Model Annotation in RGB Videos

    Maninis, K. K., Popov, S., Nießner, M. & Ferrari, V., 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision, ICCV 2023. Institute of Electrical and Electronics Engineers Inc., p. 20132-20142 11 p. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • ClipFace: Text-guided Editing of Textured 3D Morphable Models

    Aneja, S., Thies, J., Dai, A. & Niessner, M., 23 Jul 2023, Proceedings - SIGGRAPH 2023 Conference Papers. Spencer, S. N. (ed.). Association for Computing Machinery, Inc, 70. (Proceedings - SIGGRAPH 2023 Conference Papers).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    3 Scopus citations