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Michael Niemeyer
Michael Niemeyer
Google
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Zitiert von
Zitiert von
Jahr
Occupancy networks: Learning 3d reconstruction in function space
L Mescheder, M Oechsle, M Niemeyer, S Nowozin, A Geiger
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
17802019
Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
M Niemeyer, L Mescheder, M Oechsle, A Geiger
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
6142020
Convolutional occupancy networks
S Peng, M Niemeyer, L Mescheder, M Pollefeys, A Geiger
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
5302020
Giraffe: Representing scenes as compositional generative neural feature fields
M Niemeyer, A Geiger
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
5012021
Graf: Generative radiance fields for 3d-aware image synthesis
K Schwarz, Y Liao, M Niemeyer, A Geiger
Advances in Neural Information Processing Systems 33, 20154-20166, 2020
4842020
Texture fields: Learning texture representations in function space
M Oechsle, L Mescheder, M Niemeyer, T Strauss, A Geiger
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
2202019
Occupancy flow: 4d reconstruction by learning particle dynamics
M Niemeyer, L Mescheder, M Oechsle, A Geiger
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
2062019
Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs
M Niemeyer, JT Barron, B Mildenhall, MSM Sajjadi, A Geiger, N Radwan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1272022
Shape as points: A differentiable poisson solver
S Peng, C Jiang, Y Liao, M Niemeyer, M Pollefeys, A Geiger
Advances in Neural Information Processing Systems 34, 13032-13044, 2021
752021
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Z Yu, S Peng, M Niemeyer, T Sattler, A Geiger
arXiv preprint arXiv:2206.00665, 2022
672022
Campari: Camera-aware decomposed generative neural radiance fields
M Niemeyer, A Geiger
2021 International Conference on 3D Vision (3DV), 951-961, 2021
502021
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
K Schwarz, A Sauer, M Niemeyer, Y Liao, A Geiger
arXiv preprint arXiv:2206.07695, 2022
472022
Learning implicit surface light fields
M Oechsle, M Niemeyer, C Reiser, L Mescheder, T Strauss, A Geiger
2020 International Conference on 3D Vision (3DV), 452-462, 2020
372020
Automatic Semantic Labelling of Images by Their Content Using Non-Parametric Bayesian Machine Learning and Image Search Using Synthetically Generated Image Collages
M Niemeyer, O Arandjelović
2018 IEEE 5th International Conference on Data Science and Advanced …, 2018
82018
TextMesh: Generation of Realistic 3D Meshes From Text Prompts
C Tsalicoglou, F Manhardt, A Tonioni, M Niemeyer, F Tombari
arXiv preprint arXiv:2304.12439, 2023
22023
DreamBooth3D: Subject-Driven Text-to-3D Generation
A Raj, S Kaza, B Poole, M Niemeyer, N Ruiz, B Mildenhall, S Zada, ...
arXiv preprint arXiv:2303.13508, 2023
22023
NEWTON: Neural View-Centric Mapping for On-the-Fly Large-Scale SLAM
H Matsuki, K Tateno, M Niemeyer, F Tombari
arXiv preprint arXiv:2303.13654, 2023
2023
NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes
MJ Rakotosaona, F Manhardt, DM Arroyo, M Niemeyer, A Kundu, ...
arXiv preprint arXiv:2303.09431, 2023
2023
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Y Zehao, S Peng, M Niemeyer, T Sattler, A Geiger
arXiv, 2022
2022
Supplementary Material for MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Z Yu, S Peng, M Niemeyer, T Sattler, A Geiger
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