Michael Oechsle
Michael Oechsle
PhD student, MPI-IS and University of Tuebingen
Verifierad e-postadress på tuebingen.mpg.de - Startsida
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Occupancy networks: Learning 3d reconstruction in function space
L Mescheder, M Oechsle, M Niemeyer, S Nowozin, A Geiger
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
2182019
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
252020
Texture fields: Learning texture representations in function space
M Oechsle, L Mescheder, M Niemeyer, T Strauss, A Geiger
Proceedings of the IEEE International Conference on Computer Vision, 4531-4540, 2019
222019
Occupancy flow: 4d reconstruction by learning particle dynamics
M Niemeyer, L Mescheder, M Oechsle, A Geiger
Proceedings of the IEEE International Conference on Computer Vision, 5379-5389, 2019
142019
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
122017
Learning implicit surface light fields
M Oechsle, M Niemeyer, L Mescheder, T Strauss, A Geiger
arXiv preprint arXiv:2003.12406, 2020
12020
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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Artiklar 1–9