| StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets A Sauer, K Schwarz, A Geiger ACM SIGGRAPH 2022 Conference Proceedings, 2022 | 436 | 2022 |
| Scaling rectified flow transformers for high-resolution image synthesis P Esser, S Kulal, A Blattmann, R Entezari, J Müller, H Saini, Y Levi, ... International Conference on Machine Learning (ICML), 2024 | 353 | 2024 |
| Conditional Affordance Learning for Driving in Urban Environments A Sauer, N Savinov, A Geiger Conference on Robot Learning (CoRL), 2018 | 234 | 2018 |
| Projected GANs Converge Faster A Sauer, K Chitta, J Müller, A Geiger Advances in Neural Information Processing Systems (NeurIPS), 2021 | 225 | 2021 |
| Adversarial diffusion distillation A Sauer, D Lorenz, A Blattmann, R Rombach European Conference on Computer Vision, 87-103, 2023 | 223 | 2023 |
| StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis A Sauer, T Karras, S Laine, A Geiger, T Aila International Conference on Machine Learning (ICML), 2023 | 207 | 2023 |
| Counterfactual Generative Networks A Sauer, A Geiger International Conference on Learning Representations (ICLR), 2021 | 144 | 2021 |
| VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids K Schwarz, A Sauer, M Niemeyer, Y Liao, A Geiger Advances in Neural Information Processing Systems (NeurIPS), 2022 | 142 | 2022 |
| Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation A Sauer, F Boesel, T Dockhorn, A Blattmann, P Esser, R Rombach ACM SIGGRAPH Asia 2024 Conference Proceedings, 2024 | 50 | 2024 |
| Tracking Holistic Object Representations A Sauer*, E Aljalbout*, S Haddadin British Machine Vision Conference (BMVC), 2019 | 50 | 2019 |
| Zoomorphic Gestures for Communicating Cobot States V Sauer, A Sauer, A Mertens Robotics and Automation Letters (RA-L), 2021 | 20 | 2021 |
| How to Make Deep RL Work in Practice N Rao*, E Aljalbout*, A Sauer*, S Haddadin Deep RL workshop, Conference on Neural Information Processing Systems (NeurIPS), 2020 | 12 | 2020 |
