Lars Mescheder
Lars Mescheder
Max Planck Institute for Intelligent System, Tübingen
Verified email at tuebingen.mpg.de - Homepage
TitleCited byYear
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
L Mescheder, S Nowozin, A Geiger
International Conference on Machine Learning, 2017
1792017
The Numerics of GANs
L Mescheder, S Nowozin, A Geiger
Advances in Neural Information Processing Systems, 1825-1835, 2017
872017
Which Training Methods for GANs do actually Converge?
L Mescheder, A Geiger, S Nowozin
International Conference on Machine Learning, 3478-3487, 2018
69*2018
Augmented reality meets deep learning for car instance segmentation in urban scenes
HA Alhaija, SK Mustikovela, L Mescheder, A Geiger, C Rother
British Machine Vision Conference 1, 2, 2017
212017
Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes
HA Alhaija, SK Mustikovela, L Mescheder, A Geiger, C Rother
International Journal of Computer Vision, 1-12, 2017
212017
Augmented reality meets deep learning for car instance segmentation in urban scenes
H Abu Alhaija, SK Mustikovela, L Mescheder, A Geiger, C Rother
Proceedings of BMVC 2017 and Workshops, 2017
22017
Occupancy Networks: Learning 3D Reconstruction in Function Space
L Mescheder, M Oechsle, M Niemeyer, S Nowozin, A Geiger
arXiv preprint arXiv:1812.03828, 2018
12018
An Extended Perona–Malik Model Based on Probabilistic Models
LM Mescheder, DA Lorenz
Journal of Mathematical Imaging and Vision 60 (1), 128-144, 2018
12018
Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring
L Mescheder, S Nowozin, A Geiger
arXiv preprint arXiv:1611.06684, 2016
2016
Augmented Reality Meets Computer Vision
HA Alhaija, SK Mustikovela, L Mescheder, A Geiger, C Rother
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Articles 1–10