Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring. - Lars M. Mescheder; Sebastian Nowozin; Andreas Geiger 001 (CoRR, 2016)

Augmented Reality meets Deep Learning. - Hassan Abu Alhaija; Siva Karthik Mustikovela; Lars M. Mescheder; Andreas Geiger 001; Carsten Rother (BMVC, 2017)

Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. - Lars M. Mescheder; Sebastian Nowozin; Andreas Geiger 001 (ICML, 2017)

The Numerics of GANs. - Lars M. Mescheder; Sebastian Nowozin; Andreas Geiger 001 (NIPS, 2017)

Which Training Methods for GANs do actually Converge? - Lars M. Mescheder; Andreas Geiger 001; Sebastian Nowozin (ICML, 2018)

On the convergence properties of GAN training. - Lars M. Mescheder (CoRR, 2018)

Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes. - Hassan Abu Alhaija; Siva Karthik Mustikovela; Lars M. Mescheder; Andreas Geiger 001; Carsten Rother (Int. J. Comput. Vis., 2018)

An Extended Perona-Malik Model Based on Probabilistic Models. - Lars M. Mescheder; Dirk A. Lorenz (J. Math. Imaging Vis., 2018)

Occupancy Networks: Learning 3D Reconstruction in Function Space. - Lars M. Mescheder; Michael Oechsle; Michael Niemeyer; Sebastian Nowozin; Andreas Geiger 001 (CVPR, 2019)

Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics. - Michael Niemeyer; Lars M. Mescheder; Michael Oechsle; Andreas Geiger 001 (ICCV, 2019)

Texture Fields: Learning Texture Representations in Function Space. - Michael Oechsle; Lars M. Mescheder; Michael Niemeyer; Thilo Strauss; Andreas Geiger 001 (ICCV, 2019)

Learning Implicit Surface Light Fields. - Michael Oechsle; Michael Niemeyer; Christian Reiser; Lars M. Mescheder; Thilo Strauss; Andreas Geiger 001 (3DV, 2020)

Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis. - Yiyi Liao; Katja Schwarz; Lars M. Mescheder; Andreas Geiger 001 (CVPR, 2020)

Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision. - Michael Niemeyer; Lars M. Mescheder; Michael Oechsle; Andreas Geiger 001 (CVPR, 2020)

Convolutional Occupancy Networks. - Songyou Peng; Michael Niemeyer; Lars M. Mescheder; Marc Pollefeys; Andreas Geiger 001 (ECCV (3), 2020)

Learning Implicit Surface Light Fields. - Michael Oechsle; Michael Niemeyer; Lars M. Mescheder; Thilo Strauss; Andreas Geiger 001 (CoRR, 2020)

Learning Neural Light Transport. - Paul Sanzenbacher; Lars M. Mescheder; Andreas Geiger 001 (CoRR, 2020)

Stability and Expressiveness of Deep Generative Models. - Lars M. Mescheder (2020)

Stabilität und Expressivität von tiefen generativen Modellen. - Lars M. Mescheder (Ausgezeichnete Informatikdissertationen, 2020)