Norman Müller

@misc{microsoft2026maithinking1,
  title = {{MAI-Thinking-1}},
  author = {{Microsoft AI}},
  year = {2026},
  note = {Contributed to its agentic coding capabilities, achieving state-of-the-art performance in its weight class}
}

@inproceedings{liang2026luxremix,
  title = {LuxRemix: Lighting Decomposition and Remixing for Indoor Scenes},
  author = {Liang, Ruofan and Müller, Norman and Weber, Ethan and Zauss, Duncan and Vijaykumar, Nandita and Kontschieder, Peter and Richardt, Christian},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://luxremix.github.io/},
}

@inproceedings{keetha2026mapanything,
  title = {{MapAnything}: Universal Feed-Forward Metric {3D} Reconstruction},
  author = {Keetha, Nikhil and M\"{u}ller, Norman and Sch\"{o}nberger, Johannes and Porzi, Lorenzo and Zhang, Yuchen and Fischer, Tobias and Knapitsch, Arno and Zauss, Duncan and Weber, Ethan and Antunes, Nelson and Luiten, Jonathon and Lopez-Antequera, Manuel and Bul\`{o}, Samuel Rota and Richardt, Christian and Ramanan, Deva and Scherer, Sebastian and Kontschieder, Peter},
  booktitle = {International Conference on 3D Vision (3DV)},
  year = {2026},
  organization = {IEEE},
  url = {https://arxiv.org/abs/2509.13414},
}

@article{schwarz2025generative,
  title = {Generative Gaussian splatting: Generating 3D scenes with video diffusion priors},
  author = {Schwarz, Katja and M{\"u}ller, Norman and Kontschieder, Peter},
  journal = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025},
  url = {https://arxiv.org/abs/2503.13272},
  eprint = {2503.13272}
}

@inproceedings{dahnert2024coherent,
  title = {Coherent 3D Scene Diffusion From a Single {RGB} Image},
  author = {Dahnert, Manuel and Dai, Angela and M{\"u}ller, Norman and Nie{\ss}ner, Matthias},
  booktitle = {The Thirty-eighth Annual Conference on Neural Information Processing Systems},
  year = {2024},
  url = {https://openreview.net/forum?id=lckAdnVzsT},
}

@inproceedings{muller2024multidiff,
  title = {MultiDiff: Consistent Novel View Synthesis from a Single Image},
  author = {M\"uller, Norman and Schwarz, Katja and R\"ossle, Barbara and Porzi, Lorenzo and Bul\`o, Samuel Rota and Nie{\ss}ner, Matthias and Kontschieder, Peter},
  year = {2024},
  month = jun,
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}
}

@inproceedings{hollein2024viewdiff,
  title = {ViewDiff: 3D-Consistent Image Generation with Text-To-Image Models},
  author = {H{\"o}llein, Lukas and Bo\v{z}i\v{c}, Alja\v{z} and M{\"u}ller, Norman and Novotny, David and Tseng, Hung-Yu and Richardt, Christian and Zollh{\"o}fer, Michael and Nie{\ss}ner, Matthias},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2024},
}

@article{roessle2023ganerf,
  title = {Ganerf: Leveraging discriminators to optimize neural radiance fields},
  author = {Roessle, Barbara and M{\"u}ller, Norman and Porzi, Lorenzo and Bul{\`o}, Samuel Rota and Kontschieder, Peter and Nie{\ss}ner, Matthias},
  journal = {ACM Transactions on Graphics (TOG)},
  volume = {42},
  number = {6},
  pages = {1--14},
  year = {2023},
  publisher = {ACM New York, NY, USA}
}

@inproceedings{Muller_2022_CVPR,
  title = {AutoRF: Learning 3D Object Radiance Fields From Single View Observations},
  author = {M\"uller, Norman and Simonelli, Andrea and Porzi, Lorenzo and Bul\`o, Samuel Rota and Nie{\ss}ner, Matthias and Kontschieder, Peter},
  year = {2022},
  month = jun,
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {3971--3980}
}

@inproceedings{mueller2021completetracking,
  title = {Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences},
  author = {M{\"u}ller, Norman and Wong, Yu-Shiang and Mitra, Niloy J. and Dai, Angela and Nie{\ss}ner, Matthias},
  year = {2021},
  booktitle = {Proc. Computer Vision and Pattern Recognition (CVPR), IEEE}
}