I am a research scientist at Google working on 3D computer vision and graphics.
Bio: I was a PhD student at the Max Planck Insitute for Intelligent Systems supervised by Andreas Geiger. During my PhD studies, I joined Google Brain for an internship and subsequently as a student researcher. As an undergraduate student, I received a BSc in Mathematics from the University of Cologne (Germany) and a MSc from the University of St Andrews (UK).
Awards: In 2011, I graduated as top of my year from secondary school and received the e-fellows scholarship and was admitted to the Germany Mathematics Society and the German Physics Society. In 2017 I received the Dean's List Award for Academic Excellence for my Master's degree. During my PhD studies, I was a scholar of the International Max Planck Research School for Intelligent Systems (IMPRS-IS). Our two research projects Occupancy Networks and DVR were selected to be among the top-15 most influencial CVPR papers from 2019 and 2020, respectively. In 2021, we received the CS teaching award for our computer vision lecture as well as the AIGameDev scientific award for our GRAF project and the CVPR Best Paper Award for GIRAFFE (news coverage).
For any inquiries, feel free to reach out to me via mail!
@InProceedings{Rakotosaona2023ARXIV,
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 = {arXiv.org},
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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