Lars M. Mescheder

28 papers A* 7A 1Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2020	—	`conf`	Convolutional Occupancy Networks. ECCV (3) Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger
2020	J	`jnl`	Convolutional Occupancy Networks. CoRR Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger
2020	A*	`conf`	Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision. CVPR Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger
2020	—	`conf`	Learning Implicit Surface Light Fields. 3DV Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars M. Mescheder, Thilo Strauss, Andreas Geiger
2020	J	`jnl`	Learning Implicit Surface Light Fields. CoRR Michael Oechsle, Michael Niemeyer, Lars M. Mescheder, Thilo Strauss, Andreas Geiger
2020	J	`jnl`	Learning Neural Light Transport. CoRR Paul Sanzenbacher, Lars M. Mescheder, Andreas Geiger
2020	—	`—`	Stability and Expressiveness of Deep Generative Models. Lars M. Mescheder
2020	—	`ch.`	Stabilität und Expressivität von tiefen generativen Modellen. Ausgezeichnete Informatikdissertationen Lars M. Mescheder
2020	A*	`conf`	Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis. CVPR Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger
2019	J	`jnl`	Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision. CoRR Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger
2019	A*	`conf`	Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics. ICCV Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger
2019	A*	`conf`	Occupancy Networks: Learning 3D Reconstruction in Function Space. CVPR Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger
2019	A*	`conf`	Texture Fields: Learning Texture Representations in Function Space. ICCV Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger
2019	J	`jnl`	Texture Fields: Learning Texture Representations in Function Space. CoRR Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger
2019	J	`jnl`	Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis. CoRR Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger
2018	J	`jnl`	An Extended Perona-Malik Model Based on Probabilistic Models. J. Math. Imaging Vis. Lars M. Mescheder, Dirk A. Lorenz
2018	J	`jnl`	Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes. Int. J. Comput. Vis. Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother
2018	J	`jnl`	Occupancy Networks: Learning 3D Reconstruction in Function Space. CoRR Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger
2018	J	`jnl`	On the convergence properties of GAN training. CoRR Lars M. Mescheder
2018	A*	`conf`	Which Training Methods for GANs do actually Converge? ICML Lars M. Mescheder, Andreas Geiger, Sebastian Nowozin
2017	A*	`conf`	Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. ICML Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
2017	J	`jnl`	Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. CoRR Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
2017	J	`jnl`	Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes. CoRR Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother
2017	A	`conf`	Augmented Reality meets Deep Learning. BMVC Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother
2017	—	`conf`	The Numerics of GANs. NIPS Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
2017	J	`jnl`	The Numerics of GANs. CoRR Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
2016	J	`jnl`	An extended Perona-Malik model based on probabilistic models. CoRR Lars M. Mescheder, Dirk A. Lorenz
2016	J	`jnl`	Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring. CoRR Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger