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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
28992019
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
9822020
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
9662020
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
9412021
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
8262020
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
4942022
Monosdf: Exploring monocular geometric cues for neural implicit surface reconstruction
Z Yu, S Peng, M Niemeyer, T Sattler, A Geiger
Advances in neural information processing systems 35, 25018-25032, 2022
3552022
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
3302019
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
2882019
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
1932021
Dreambooth3d: Subject-driven text-to-3d generation
A Raj, S Kaza, B Poole, M Niemeyer, N Ruiz, B Mildenhall, S Zada, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2023
1592023
Voxgraf: Fast 3d-aware image synthesis with sparse voxel grids
K Schwarz, A Sauer, M Niemeyer, Y Liao, A Geiger
Advances in Neural Information Processing Systems 35, 33999-34011, 2022
1272022
Textmesh: Generation of realistic 3d meshes from text prompts
C Tsalicoglou, F Manhardt, A Tonioni, M Niemeyer, F Tombari
2024 International Conference on 3D Vision (3DV), 1554-1563, 2024
892024
Campari: Camera-aware decomposed generative neural radiance fields
M Niemeyer, A Geiger
2021 International Conference on 3D Vision (3DV), 951-961, 2021
682021
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
422020
Nerfmeshing: Distilling neural radiance fields into geometrically-accurate 3d meshes
MJ Rakotosaona, F Manhardt, DM Arroyo, M Niemeyer, A Kundu, ...
2024 International Conference on 3D Vision (3DV), 1156-1165, 2024
372024
Newton: Neural view-centric mapping for on-the-fly large-scale slam
H Matsuki, K Tateno, M Niemeyer, F Tombari
IEEE Robotics and Automation Letters, 2024
132024
OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views
F Engelmann, F Manhardt, M Niemeyer, K Tateno, M Pollefeys, F Tombari
arXiv preprint arXiv:2404.03650, 2024
112024
Dns slam: Dense neural semantic-informed slam
K Li, M Niemeyer, N Navab, F Tombari
arXiv preprint arXiv:2312.00204, 2023
102023
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
102018
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