Lars M. Mescheder

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 26

Top Topics

Generative Model

Unsupervised Learning

Top Venues

Publications

Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis. CVPR (2020)
Paul Sanzenbacher, Lars M. Mescheder, Andreas Geiger
Learning Neural Light Transport. CoRR (2020)
Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger
Convolutional Occupancy Networks. ECCV (3) (2020)
Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger
Convolutional Occupancy Networks. CoRR (2020)
Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars M. Mescheder, Thilo Strauss, Andreas Geiger
Learning Implicit Surface Light Fields. 3DV (2020)
Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision. CVPR (2020)
Michael Oechsle, Michael Niemeyer, Lars M. Mescheder, Thilo Strauss, Andreas Geiger
Learning Implicit Surface Light Fields. CoRR (2020)
Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger
Texture Fields: Learning Texture Representations in Function Space. CoRR (2019)
Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger
Occupancy Networks: Learning 3D Reconstruction in Function Space. CVPR (2019)
Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger
Texture Fields: Learning Texture Representations in Function Space. ICCV (2019)
Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision. CoRR (2019)
Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis. CoRR (2019)
Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger
Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics. ICCV (2019)
Lars M. Mescheder
On the convergence properties of GAN training. CoRR (2018)
Lars M. Mescheder, Dirk A. Lorenz
An Extended Perona-Malik Model Based on Probabilistic Models. J. Math. Imaging Vis. 60 (1) (2018)
Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger
Occupancy Networks: Learning 3D Reconstruction in Function Space. CoRR (2018)
Lars M. Mescheder, Andreas Geiger, Sebastian Nowozin
Which Training Methods for GANs do actually Converge? ICML (2018)
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) (2018)
Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
The Numerics of GANs. CoRR (2017)
Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother
Augmented Reality meets Deep Learning. BMVC (2017)
Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
The Numerics of GANs. NIPS (2017)
Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. ICML (2017)
Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. CoRR (2017)
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 (2017)
Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring. CoRR (2016)
Lars M. Mescheder, Dirk A. Lorenz
An extended Perona-Malik model based on probabilistic models. CoRR (2016)