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Michael Niemeyer
Michael Niemeyer
Max Planck Institute for Intelligent Systems and University of Tübingen
Bestätigte E-Mail-Adresse bei tue.mpg.de - Startseite
Titel
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
11872019
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
3762020
Convolutional occupancy networks
S Peng, M Niemeyer, L Mescheder, M Pollefeys, A Geiger
European Conference on Computer Vision, 523-540, 2020
3132020
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
2272020
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
2102021
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
1532019
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
1412019
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
272021
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
272020
Campari: Camera-aware decomposed generative neural radiance fields
M Niemeyer, A Geiger
2021 International Conference on 3D Vision (3DV), 951-961, 2021
262021
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
172022
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
72018
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
22022
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
12022
Supplementary Material for CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields
M Niemeyer, A Geiger
Supplementary Material for Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics
M Niemeyer, L Mescheder, M Oechsle, A Geiger
Supplementary Material for Occupancy Networks: Learning 3D Reconstruction in Function Space
L Mescheder, M Oechsle, M Niemeyer, S Nowozin, A Geiger
Supplementary Material for Texture Fields: Learning Texture Representations in Function Space
M Oechsle, L Mescheder, M Niemeyer, T Strauss, A Geiger
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