Michael Niemeyer

According to our database, Michael Niemeyer authored at least 32 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Recent Trends in 3D Reconstruction of General Non-Rigid Scenes.

Raza Yunus, Jan Eric Lenssen, Michael Niemeyer, Yiyi Liao, Christian Rupprecht, Christian Theobalt, Gerard Pons-Moll, Jia-Bin Huang, Vladislav Golyanik, Eddy Ilg

Comput. Graph. Forum, May, 2024

NEWTON: Neural View-Centric Mapping for On-the-Fly Large-Scale SLAM.

Hidenobu Matsuki, Keisuke Tateno, Michael Niemeyer, Federico Tombari

IEEE Robotics Autom. Lett., 2024

SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians.

Siyun Liang, Sen Wang, Kunyi Li, Michael Niemeyer, Stefano Gasperini, Nassir Navab, Federico Tombari

CoRR, 2024

Gaussians-to-Life: Text-Driven Animation of 3D Gaussian Splatting Scenes.

Thomas Wimmer, Michael Oechsle, Michael Niemeyer, Federico Tombari

CoRR, 2024

G2SDF: Surface Reconstruction from Explicit Gaussians with Implicit SDFs.

Kunyi Li, Michael Niemeyer, Zeyu Chen, Nassir Navab, Federico Tombari

CoRR, 2024

Evolutive Rendering Models.

Fangneng Zhan, Hanxue Liang, Yifan Wang, Michael Niemeyer, Michael Oechsle, Adam Kortylewski, Cengiz Öztireli, Gordon Wetzstein, Christian Theobalt

CoRR, 2024

Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians.

Erik Sandström, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Luc Van Gool, Martin R. Oswald, Federico Tombari

CoRR, 2024

OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views.

Francis Engelmann, Fabian Manhardt, Michael Niemeyer, Keisuke Tateno, Marc Pollefeys, Federico Tombari

CoRR, 2024

RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS.

Michael Niemeyer, Fabian Manhardt, Marie-Julie Rakotosaona, Michael Oechsle, Daniel Duckworth, Rama Gosula, Keisuke Tateno, John Bates, Dominik Kaeser, Federico Tombari

CoRR, 2024

InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes.

Mohamad Shahbazi, Liesbeth Claessens, Michael Niemeyer, Edo Collins, Alessio Tonioni, Luc Van Gool, Federico Tombari

CoRR, 2024

DNS-SLAM: Dense Neural Semantic-Informed SLAM.

Kunyi Li, Michael Niemeyer, Nassir Navab, Federico Tombari

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views.

Francis Engelmann, Fabian Manhardt, Michael Niemeyer, Keisuke Tateno, Federico Tombari

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TextMesh: Generation of Realistic 3D Meshes From Text Prompts.

Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, Federico Tombari

Proceedings of the International Conference on 3D Vision, 2024

NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes.

Marie-Julie Rakotosaona, Fabian Manhardt, Diego Martín Arroyo, Michael Niemeyer, Abhijit Kundu, Federico Tombari

Proceedings of the International Conference on 3D Vision, 2024

2023

Neural Scene Representations for 3D Reconstruction and Generative Modeling

Michael Niemeyer

PhD thesis, 2023

UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections.

Fangjinhua Wang, Marie-Julie Rakotosaona, Michael Niemeyer, Richard Szeliski, Marc Pollefeys, Federico Tombari

CoRR, 2023

DreamBooth3D: Subject-Driven Text-to-3D Generation.

Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction.

Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids.

Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, Andreas Geiger

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs.

Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Shape As Points: A Differentiable Poisson Solver.

Songyou Peng, Chiyu Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields.

Michael Niemeyer, Andreas Geiger

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields.

Michael Niemeyer, Andreas Geiger

Proceedings of the International Conference on 3D Vision, 2021

2020

Learning Implicit Surface Light Fields.

Michael Oechsle, Michael Niemeyer, Lars M. Mescheder, Thilo Strauss, Andreas Geiger

CoRR, 2020

GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis.

Katja Schwarz, Yiyi Liao, Michael Niemeyer, Andreas Geiger

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Convolutional Occupancy Networks.

Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger

Proceedings of the Computer Vision - ECCV 2020, 2020

Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision.

Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Implicit Surface Light Fields.

Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars M. Mescheder, Thilo Strauss, Andreas Geiger

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Texture Fields: Learning Texture Representations in Function Space.

Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics.

Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Occupancy Networks: Learning 3D Reconstruction in Function Space.

Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Automatic Semantic Labelling of Images by Their Content Using Non-Parametric Bayesian Machine Learning and Image Search Using Synthetically Generated Image Collages.

Michael Niemeyer, Ognjen Arandjelovic

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018