Michael Oechsle
Michael Oechsle
PhD student, MPI-IS and University of Tuebingen
Verified email at tuebingen.mpg.de - Homepage
Title
Cited by
Cited by
Year
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
4142019
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
1012020
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
622019
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
422019
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
152020
Driven Brownian particle as a paradigm for a nonequilibrium heat bath: Effective temperature and cyclic work extraction
R Wulfert, M Oechsle, T Speck, U Seifert
Physical Review E 95 (5), 050103, 2017
152017
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
M Oechsle, S Peng, A Geiger
arXiv preprint arXiv:2104.10078, 2021
2021
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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Articles 1–10