I am a senior research scientist at Google working on 3D computer vision and generative modeling. Prior to joining Google, I was a PhD student at the Max Planck Insitute for Intelligent Systems supervised by Andreas Geiger. As an undergraduate student, I studied Mathematics at the University of Cologne (Germany) and computer science as the Master's at the University of St Andrews (UK).
For any inquiries, feel free to reach out to me via mail!
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@InProceedings{niemeyer2024arxiv,
author = {Michael Niemeyer and Fabian Manhardt and Marie-Julie Rakotosaona and Michael Oechsle and Rama Gosula and Keisuke Tateno and John Bates and Dominik Kaeser and Federico Tombari},
title = {RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS},
booktitle = {Proc. of the International Conf. on 3D Vision (3DV)},
year = {2025},
}
@InProceedings{sandstroem2024arxiv,
author = {Erik Sandström and Keisuke Tateno and Michael Oechsle and Michael Niemeyer and Luc Van-Gool and Martin Oswald and Federico Tombari},
title = {Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians},
booktitle = {arXiv.org},
year = {2024},
}
@InProceedings{zhan2024arxiv,
author = {Fangneng Zhan and Hanxue Liang and Yifan Wang and Michael Niemeyer and Michael Oechsle and Adam Kortylewski and Cengiz Oztireli and Gordon Wetzstein and Christian Theobalt},
title = {Evolutive Rendering Models},
booktitle = {arXiv.org},
year = {2024},
}
@InProceedings{shahbazi2024inserf,
author = {Mohamad Shahbazi and Liesbeth Claessens and Michael Niemeyer and Edo Collins and Alessio Tonioni and Luc Van Gool and Federico Tombari},
title = {InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes},
booktitle = {arXiv.org},
year = {2024},
}
@InProceedings{wang2023unisdf,
author = {Fangjinhua Wang and Marie-Julie Rakotosaona and Michael Niemeyer and Richard Szeliski and Marc Pollefeys and Federico Tombari},
title = {UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
year = {2024},
}
@InProceedings{Li2023ARXIV,
author = {Kunyi Li and Michael Niemeyer and Nassir Navab and Federico Tombari},
title = {DNS SLAM: Dense Neural Semantic-Informed SLAM},
booktitle = {Proc. of the International Conf. on Intelligent Robots and Systems (IROS)},
year = {2024},
}
@InProceedings{Engelmann2024ICLR,
author = {Francis Engelmann and Fabian Manhardt and Michael Niemeyer and Keisuke Tateno and Marc Pollefeys and Federico Tombari},
title = {Open-Set 3D Scene Segmentation with Rendered Novel Views},
booktitle = {Proc. of the International Conf. on Learning Representations (ICLR)},
year = {2024},
}
@InProceedings{Tsalicoglou2023THREEDV,
author = {Christina Tsalicoglou and Fabian Manhardt and Alessio Tonioni and Michael Niemeyer and Federico Tombari},
title = {TextMesh: Generation of Realistic 3D Meshes From Text Prompts},
booktitle = {Proc. of the International Conf. on 3D Vision (3DV)},
year = {2024},
}
@InProceedings{Rakotosaona2023THREEDV,
author = {Marie-Julie Rakotosaona and Fabian Manhardt and Diego Martin Arroyo and Michael Niemeyer and Abhijit Kundu and Federico Tombari},
title = {NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes},
booktitle = {Proc. of the International Conf. on 3D Vision (3DV)},
year = {2024},
}
@InProceedings{Raj2023ICCV,
author = {Amit Raj and Srinivas Kaza and Ben Poole and Michael Niemeyer and Nataniel Ruiz and Ben Mildenhall and Shiran Zada and Kfir Aberman and Michael Rubinstein and Jonathan Barron and Yuanzhen Li and Varun Jampani},
title = {DreamBooth3D: Subject-Driven Text-to-3D Generation},
booktitle = {Proc. of the IEEE International Conf. on Computer Vision (ICCV)},
year = {2023},
}
@InProceedings{Matsuki2023ARXIV,
author = {Hidenobu Matsuki and Keisuke Tateno and Michael Niemeyer and Federico Tombari},
title = {NEWTON: Neural View-Centric Mapping for On-the-Fly Large-Scale SLAM},
booktitle = {IEEE Robotics and Automation Letters (RA-L)},
year = {2023},
}
@InProceedings{Yu2022SDFStudio,
author = {Zehao Yu and Anpei Chen and Bozidar Antic and Songyou Peng and Apratim Bhattacharyya and Michael Niemeyer and Siyu Tang and Torsten Sattler and Andreas Geiger},
title = {SDFStudio: A Unified Framework for Surface Reconstruction},
booktitle = {Open Source Project},
year = {2022},
}
@InProceedings{Yu2022NEURIPS,
author = {Zehao Yu and Songyou Peng and Michael Niemeyer and Torsten Sattler and Andreas Geiger},
title = {MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
year = {2022},
}
@InProceedings{Schwarz2022NEURIPS,
author = {Katja Schwarz and Axel Sauer and Michael Niemeyer and Yiyi Liao and Andreas Geiger},
title = {VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
year = {2022},
}
@InProceedings{Niemeyer2022CVPR,
author = {Michael Niemeyer and Jonathan Barron and Ben Mildenhall and Mehdi Sajjadi and Andreas Geiger and Noha Radwan},
title = {RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs},
booktitle = {Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)},
year = {2022},
}
@InProceedings{Peng2021NEURIPS,
author = {Songyou Peng and Chiyu Jiang and Yiyi Liao and Michael Niemeyer and Marc Pollefeys and Andreas Geiger},
title = {Shape As Points: A Differentiable Poisson Solver},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
year = {2021},
}
@InProceedings{Schwarz2020NEURIPS,
author = {Katja Schwarz and Yiyi Liao and Michael Niemeyer and Andreas Geiger},
title = {GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
year = {2020},
}
@InProceedings{Niemeyer2021CVPR,
author = {Michael Niemeyer and Andreas Geiger},
title = {GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields},
booktitle = {Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)},
year = {2021},
}
@InProceedings{Niemeyer2021THREEDV,
author = {Michael Niemeyer and Andreas Geiger},
title = {CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields},
booktitle = {Proc. of the International Conf. on 3D Vision (3DV)},
year = {2021},
}
@InProceedings{Oechsle2020THREEDV,
author = {Michael Oechsle and Michael Niemeyer and Christian Reiser and Lars Mescheder and Thilo Strauss and Andreas Geiger},
title = {Learning Implicit Surface Light Fields},
booktitle = {Proc. of the International Conf. on 3D Vision (3DV)},
year = {2020},
}
@InProceedings{Peng2020ECCV,
author = {Songyou Peng and Michael Niemeyer and Lars Mescheder and Marc Pollefeys and Andreas Geiger},
title = {Convolutional Occupancy Networks},
booktitle = {Proc. of the European Conf. on Computer Vision (ECCV)},
year = {2020},
}
@InProceedings{Niemeyer2020CVPR,
author = {Michael Niemeyer and Lars Mescheder and Michael Oechsle and Andreas Geiger},
title = {Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision},
booktitle = {Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)},
year = {2020},
}
@InProceedings{Niemeyer2019ICCV,
author = {Michael Niemeyer and Lars Mescheder and Michael Oechsle and Andreas Geiger},
title = {Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics},
booktitle = {Proc. of the IEEE International Conf. on Computer Vision (ICCV)},
year = {2019},
}
@InProceedings{Oechsle2019ICCV,
author = {Michael Oechsle and Lars Mescheder and Michael Niemeyer and Thilo Strauss and Andreas Geiger},
title = {Texture Fields: Learning Texture Representations in Function Space},
booktitle = {Proc. of the IEEE International Conf. on Computer Vision (ICCV)},
year = {2019},
}
@InProceedings{Mescheder2019CVPR,
author = {Lars Mescheder and Michael Oechsle and Michael Niemeyer and Sebastian Nowozin and Andreas Geiger},
title = {Occupancy Networks: Learning 3D Reconstruction in Function Space},
booktitle = {Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)},
year = {2019},
}
Feel free to use this website as a template! It is fully responsive and very easy to use and maintain as it uses a python script that crawls your bib files to automatically add the papers and talks. If you find it helpful, please add a link to my website - I will also add a link to yours (if you want). Checkout the github repository for instructions on how to use it.
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