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Michael Niemeyer
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2020 – today
- 2024
- [j2]Raza Yunus, Jan Eric Lenssen, Michael Niemeyer, Yiyi Liao, Christian Rupprecht, Christian Theobalt, Gerard Pons-Moll, Jia-Bin Huang, Vladislav Golyanik, Eddy Ilg:
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes. Comput. Graph. Forum 43(2): i-iii (2024) - [j1]Hidenobu Matsuki, Keisuke Tateno, Michael Niemeyer, Federico Tombari:
NEWTON: Neural View-Centric Mapping for On-the-Fly Large-Scale SLAM. IEEE Robotics Autom. Lett. 9(4): 3704-3711 (2024) - [c18]Marie-Julie Rakotosaona, Fabian Manhardt, Diego Martín Arroyo, Michael Niemeyer, Abhijit Kundu, Federico Tombari:
NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes. 3DV 2024: 1156-1165 - [c17]Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, Federico Tombari:
TextMesh: Generation of Realistic 3D Meshes From Text Prompts. 3DV 2024: 1554-1563 - [c16]Francis Engelmann, Fabian Manhardt, Michael Niemeyer, Keisuke Tateno, Federico Tombari:
OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views. ICLR 2024 - [i24]Mohamad Shahbazi, Liesbeth Claessens, Michael Niemeyer, Edo Collins, Alessio Tonioni, Luc Van Gool, Federico Tombari:
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes. CoRR abs/2401.05335 (2024) - [i23]Michael Niemeyer, Fabian Manhardt, Marie-Julie Rakotosaona, Michael Oechsle, Daniel Duckworth, Rama Gosula, Keisuke Tateno, John Bates, Dominik Kaeser, Federico Tombari:
RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS. CoRR abs/2403.13806 (2024) - [i22]Raza Yunus, Jan Eric Lenssen, Michael Niemeyer, Yiyi Liao, Christian Rupprecht, Christian Theobalt, Gerard Pons-Moll, Jia-Bin Huang, Vladislav Golyanik, Eddy Ilg:
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes. CoRR abs/2403.15064 (2024) - [i21]Francis Engelmann, Fabian Manhardt, Michael Niemeyer, Keisuke Tateno, Marc Pollefeys, Federico Tombari:
OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views. CoRR abs/2404.03650 (2024) - [i20]Erik Sandström, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Luc Van Gool, Martin R. Oswald, Federico Tombari:
Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians. CoRR abs/2405.16544 (2024) - [i19]Fangneng Zhan, Hanxue Liang, Yifan Wang, Michael Niemeyer, Michael Oechsle, Adam Kortylewski, Cengiz Öztireli, Gordon Wetzstein, Christian Theobalt:
Evolutive Rendering Models. CoRR abs/2405.17531 (2024) - 2023
- [b1]Michael Niemeyer:
Neural Scene Representations for 3D Reconstruction and Generative Modeling. Tübingen University, Germany, 2023 - [c15]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:
DreamBooth3D: Subject-Driven Text-to-3D Generation. ICCV 2023: 2349-2359 - [i18]Marie-Julie Rakotosaona, Fabian Manhardt, Diego Martín Arroyo, Michael Niemeyer, Abhijit Kundu, Federico Tombari:
NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes. CoRR abs/2303.09431 (2023) - [i17]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:
DreamBooth3D: Subject-Driven Text-to-3D Generation. CoRR abs/2303.13508 (2023) - [i16]Hidenobu Matsuki, Keisuke Tateno, Michael Niemeyer, Federico Tombari:
NEWTON: Neural View-Centric Mapping for On-the-Fly Large-Scale SLAM. CoRR abs/2303.13654 (2023) - [i15]Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, Federico Tombari:
TextMesh: Generation of Realistic 3D Meshes From Text Prompts. CoRR abs/2304.12439 (2023) - [i14]Kunyi Li, Michael Niemeyer, Nassir Navab, Federico Tombari:
DNS SLAM: Dense Neural Semantic-Informed SLAM. CoRR abs/2312.00204 (2023) - [i13]Fangjinhua Wang, Marie-Julie Rakotosaona, Michael Niemeyer, Richard Szeliski, Marc Pollefeys, Federico Tombari:
UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections. CoRR abs/2312.13285 (2023) - 2022
- [c14]Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan:
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. CVPR 2022: 5470-5480 - [c13]Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, Andreas Geiger:
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids. NeurIPS 2022 - [c12]Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger:
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction. NeurIPS 2022 - [i12]Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger:
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction. CoRR abs/2206.00665 (2022) - [i11]Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, Andreas Geiger:
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids. CoRR abs/2206.07695 (2022) - 2021
- [c11]Michael Niemeyer, Andreas Geiger:
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields. 3DV 2021: 951-961 - [c10]Michael Niemeyer, Andreas Geiger:
GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields. CVPR 2021: 11453-11464 - [c9]Songyou Peng, Chiyu Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger:
Shape As Points: A Differentiable Poisson Solver. NeurIPS 2021: 13032-13044 - [i10]Michael Niemeyer, Andreas Geiger:
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields. CoRR abs/2103.17269 (2021) - [i9]Songyou Peng, Chiyu Max Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger:
Shape As Points: A Differentiable Poisson Solver. CoRR abs/2106.03452 (2021) - [i8]Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan:
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. CoRR abs/2112.00724 (2021) - 2020
- [c8]Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars M. Mescheder, Thilo Strauss, Andreas Geiger:
Learning Implicit Surface Light Fields. 3DV 2020: 452-462 - [c7]Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger:
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision. CVPR 2020: 3501-3512 - [c6]Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger:
Convolutional Occupancy Networks. ECCV (3) 2020: 523-540 - [c5]Katja Schwarz, Yiyi Liao, Michael Niemeyer, Andreas Geiger:
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis. NeurIPS 2020 - [i7]Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger:
Convolutional Occupancy Networks. CoRR abs/2003.04618 (2020) - [i6]Michael Oechsle, Michael Niemeyer, Lars M. Mescheder, Thilo Strauss, Andreas Geiger:
Learning Implicit Surface Light Fields. CoRR abs/2003.12406 (2020) - [i5]Katja Schwarz, Yiyi Liao, Michael Niemeyer, Andreas Geiger:
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis. CoRR abs/2007.02442 (2020) - [i4]Michael Niemeyer, Andreas Geiger:
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields. CoRR abs/2011.12100 (2020)
2010 – 2019
- 2019
- [c4]Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger:
Occupancy Networks: Learning 3D Reconstruction in Function Space. CVPR 2019: 4460-4470 - [c3]Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger:
Texture Fields: Learning Texture Representations in Function Space. ICCV 2019: 4530-4539 - [c2]Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger:
Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics. ICCV 2019: 5378-5388 - [i3]Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger:
Texture Fields: Learning Texture Representations in Function Space. CoRR abs/1905.07259 (2019) - [i2]Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger:
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision. CoRR abs/1912.07372 (2019) - 2018
- [c1]Michael Niemeyer, Ognjen Arandjelovic:
Automatic Semantic Labelling of Images by Their Content Using Non-Parametric Bayesian Machine Learning and Image Search Using Synthetically Generated Image Collages. DSAA 2018: 160-168 - [i1]Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger:
Occupancy Networks: Learning 3D Reconstruction in Function Space. CoRR abs/1812.03828 (2018)
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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