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2020 – today
- 2023
[i13]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)- 2022
- [c12]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 - [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 2023-03-22 02:15 CET by the dblp team
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