Norman Müller

AI Researcher for 3D Generative AI

prof_pic.jpg

mail[at]normanm[dot]de

Hi, I’m Norman! I am a Member of the Technical Staff at Microsoft AI in Zurich, working in the multimodal team (video generation). Previously, I worked as an AI Researcher on generative models for 3D and reconstruction.

I completed my PhD at the Visual Computing and Artificial Intelligence group at the Technical University of Munich, advised by Prof. Matthias Niessner. Before my PhD, I graduated at the top of my class from RWTH Aachen University, earning Bachelor’s and Master’s degrees in both Informatics and Mathematics with high distinction.

My background also includes R&D experience in robotics and VR at BMW Munich, and research internships with Peter Kontschieder at Meta Zurich.

Academic Service

  • Area Chair: CVPR (2026)
  • Reviewer: CVPR (since 2022), ICCV (since 2023)

news

Jan 05, 2026 I started at Microsoft AI as a Member of the Technical Staff!
Nov 30, 2025 MapAnything accepted to 3DV 2025!
Jun 29, 2025 3 Papers accepted to ICCV 2025: FlowR (Spotlight), GGS, and Easy3D (Oral)
Oct 01, 2024 LG3D accepted at SIGGRAPH ASIA’24 and CoDi accepted for NeurIPS24
Feb 27, 2024 3 papers accepted at CVPR: MultiDiff (first author), ViewDiff and Consistent Dreamer

selected publications

  1. map_anything.gif
    ARXIV25
    MapAnything: Universal Feed-Forward Metric 3D Reconstruction
    Nikhil Keetha , Norman Müller, Johannes Schönberger , and 14 more authors
    In arXiv:2509.13414 , 2025
    HTML PDF
  2. flowr.gif
    ICCV25
    (Spotlight)
    FlowR: Flowing from Sparse to Dense 3D Reconstructions
    Tobias Fischer , Samuel Rota Bulò , Yung-Hsu Yang , and 7 more authors
    Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) [Spotlight], 2025
    HTML PDF
  3. easy3d.gif
    ICCV25
    (Oral)
    Easy3D: A Simple Yet Effective Method for 3D Interactive Segmentation
    Andrea Simonelli , Norman M"uller , and Peter Kontschieder
    Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) [Oral], 2025
    HTML PDF
  4. ggs.gif
    ICCV25
    Generative Gaussian splatting: Generating 3D scenes with video diffusion priors
    Katja Schwarz , Norman Müller, and Peter Kontschieder
    Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025
    HTML PDF
  5. codi.gif
    NEURIPS24
    Coherent 3D Scene Diffusion From a Single RGB Image
    Manuel Dahnert , Angela Dai , Norman Müller, and 1 more author
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems , 2024
    HTML PDF
  6. multidiff.gif
    CVPR24
    MultiDiff: Consistent Novel View Synthesis from a Single Image
    Norman Müller, Katja Schwarz , Barbara Rössle , and 4 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2024
    HTML PDF
  7. viewdiff.gif
    CVPR24
    ViewDiff: 3D-Consistent Image Generation with Text-To-Image Models
    Lukas Höllein , Aljaž Božič , Norman Müller, and 5 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , Jun 2024
    HTML PDF Video
  8. ganerf.gif
    SA23
    Ganerf: Leveraging discriminators to optimize neural radiance fields
    Barbara Roessle , Norman Müller, Lorenzo Porzi , and 3 more authors
    ACM Transactions on Graphics (TOG), Jun 2023
    HTML PDF Video
  9. diffrf.gif
    CVPR23
    (Spotlight)
    DiffRF: Rendering-Guided 3D Radiance Field Diffusion
    Norman Müller, Yawar Siddiqui , Lorenzo Porzi , and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) [Spotlight] , Jun 2023
    HTML PDF Video
  10. panopli.gif
    CVPR23
    (Spotlight)
    Panoptic Lifting for 3D Scene Understanding with Neural Fields
    Yawar Siddiqui , Lorenzo Porzi , Samuel Rota Buló , and 4 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) [Spotlight] , Jun 2023
    HTML PDF Video Code
  11. autorf.gif
    CVPR23
    AutoRF: Learning 3D Object Radiance Fields From Single View Observations
    Norman Müller, Andrea Simonelli , Lorenzo Porzi , and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2022
    HTML PDF Video
  12. sbo.gif
    CVPR21
    Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences
    Norman Müller, Yu-Shiang Wong , Niloy J. Mitra , and 2 more authors
    In Proc. Computer Vision and Pattern Recognition (CVPR), IEEE , Jun 2021
    HTML PDF Video