Publications

Axel Sauer, Frederic Boesel, Tim Dockhorn, Andreas Blattmann, Patrick Esser, Robin Rombach (2024). Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation.

Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, Dustin Podell, Tim Dockhorn, Zion English, Kyle Lacey, Alex Goodwin, Yannik Marek, Robin Rombach (2024). Scaling rectified flow transformers for high-resolution image synthesis. ICML 2024.

Axel Sauer, Dominik Lorenz, Andreas Blattmann, Robin Rombach (2023). Adversarial Diffusion Distillation. ECCV 2024.

Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila (2023). StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis. ICML 2023.

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Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, Andreas Geiger (2022). VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids. NeurIPS.

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Axel Sauer, Katja Schwarz, Andreas Geiger (2022). StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets. SIGGRAPH 2022.

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Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger (2021). Projected GANs Converge Faster. NeurIPS 2021.

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Axel Sauer & Andreas Geiger (2021). Counterfactual Generative Networks. ICLR 2021.

Project PDF Code Music Video Talk Blog

Vanessa Sauer, Axel Sauer, Alexander Mertens (2021). Zoomorphic Gestures for Communicating Cobot States. RA-L 2021.

Project PDF Video Press

Nirnai Rao*, Elie Aljalbout*, Axel Sauer*, Sami Haddadin (*Shared first authorship) (2020). How to Make Deep RL Work in Practice. NeurIPS 2020, Deep RL workshop.

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Axel Sauer*, Elie Aljalbout*, Sami Haddadin (*Shared first authorship) (2019). Tracking Holistic Object Representations. BMVC 2019.

Project PDF Supplementary Code Video Blog

Axel Sauer, Nikolay Savinov, Andreas Geiger (2018). Conditional Affordance Learning for Driving in Urban Environments. CoRL 2018.

Project PDF Supplementary Code Video Talk Blog