StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets A Sauer, K Schwarz, A Geiger ACM SIGGRAPH 2022 Conference Proceedings, 2022 | 330 | 2022 |
Conditional Affordance Learning for Driving in Urban Environments A Sauer, N Savinov, A Geiger Conference on Robot Learning (CoRL), 2018 | 218 | 2018 |
Projected GANs Converge Faster A Sauer, K Chitta, J Müller, A Geiger Advances in Neural Information Processing Systems (NeurIPS), 2021 | 194 | 2021 |
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 | 140 | 2023 |
Counterfactual Generative Networks A Sauer, A Geiger International Conference on Learning Representations (ICLR), 2021 | 122 | 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 | 114 | 2022 |
Adversarial Diffusion Distillation A Sauer, D Lorenz, A Blattmann, R Rombach arXiv preprint arXiv:2311.17042, 2023 | 75 | 2023 |
Tracking Holistic Object Representations A Sauer*, E Aljalbout*, S Haddadin British Machine Vision Conference (BMVC), 2019 | 45 | 2019 |
Scaling rectified flow transformers for high-resolution image synthesis P Esser, S Kulal, A Blattmann, R Entezari, J Müller, H Saini, Y Levi, ... Forty-first International Conference on Machine Learning, 2024 | 42 | 2024 |
Zoomorphic Gestures for Communicating Cobot States V Sauer, A Sauer, A Mertens Robotics and Automation Letters (RA-L), 2021 | 16 | 2021 |
Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation A Sauer, F Boesel, T Dockhorn, A Blattmann, P Esser, R Rombach arXiv preprint arXiv:2403.12015, 2024 | 10 | 2024 |
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 | 9 | 2020 |