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ORCIDLars M. Mescheder
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Books and Theses
- 2020
[b1]Lars M. Mescheder:
Stability and Expressiveness of Deep Generative Models. University of Tübingen, Germany, 2020
Journal Articles
- 2018
- [j2]Hassan Abu Alhaija
, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother:
Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes. Int. J. Comput. Vis. 126(9): 961-972 (2018) - [j1]Lars M. Mescheder, Dirk A. Lorenz:
An Extended Perona-Malik Model Based on Probabilistic Models. J. Math. Imaging Vis. 60(1): 128-144 (2018)
Conference and Workshop Papers
- 2020
- [c11]Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars M. Mescheder, Thilo Strauss, Andreas Geiger:
Learning Implicit Surface Light Fields. 3DV 2020: 452-462 - [c10]Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger:
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision. CVPR 2020: 3501-3512 - [c9]Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger:
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis. CVPR 2020: 5870-5879 - [c8]Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger:
Convolutional Occupancy Networks. ECCV (3) 2020: 523-540 - 2019
- [c7]Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger:
Occupancy Networks: Learning 3D Reconstruction in Function Space. CVPR 2019: 4460-4470 - [c6]Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger:
Texture Fields: Learning Texture Representations in Function Space. ICCV 2019: 4530-4539 - [c5]Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger:
Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics. ICCV 2019: 5378-5388 - 2018
- [c4]Lars M. Mescheder, Andreas Geiger, Sebastian Nowozin:
Which Training Methods for GANs do actually Converge? ICML 2018: 3478-3487 - 2017
- [c3]Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother:
Augmented Reality meets Deep Learning. BMVC 2017 - [c2]Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger:
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. ICML 2017: 2391-2400 - [c1]Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger:
The Numerics of GANs. NIPS 2017: 1825-1835
Parts in Books or Collections
- 2020
- [p1]Lars M. Mescheder:
Stabilität und Expressivität von tiefen generativen Modellen. Ausgezeichnete Informatikdissertationen 2020: 229-238
Informal and Other Publications
- 2020
- [i13]Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger:
Convolutional Occupancy Networks. CoRR abs/2003.04618 (2020) - [i12]Michael Oechsle, Michael Niemeyer, Lars M. Mescheder, Thilo Strauss, Andreas Geiger:
Learning Implicit Surface Light Fields. CoRR abs/2003.12406 (2020) - [i11]Paul Sanzenbacher, Lars M. Mescheder, Andreas Geiger:
Learning Neural Light Transport. CoRR abs/2006.03427 (2020) - 2019
- [i10]Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger:
Texture Fields: Learning Texture Representations in Function Space. CoRR abs/1905.07259 (2019) - [i9]Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger:
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis. CoRR abs/1912.05237 (2019) - [i8]Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger:
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision. CoRR abs/1912.07372 (2019) - 2018
- [i7]Lars M. Mescheder:
On the convergence properties of GAN training. CoRR abs/1801.04406 (2018) - [i6]Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger:
Occupancy Networks: Learning 3D Reconstruction in Function Space. CoRR abs/1812.03828 (2018) - 2017
- [i5]Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger:
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. CoRR abs/1701.04722 (2017) - [i4]Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger:
The Numerics of GANs. CoRR abs/1705.10461 (2017) - [i3]Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother:
Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes. CoRR abs/1708.01566 (2017) - 2016
- [i2]Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger:
Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring. CoRR abs/1611.06684 (2016) - [i1]Lars M. Mescheder, Dirk A. Lorenz:
An extended Perona-Malik model based on probabilistic models. CoRR abs/1612.06176 (2016)
Coauthor Index
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