| Graf: Generative radiance fields for 3d-aware image synthesis K Schwarz, Y Liao, M Niemeyer, A Geiger Advances in Neural Information Processing Systems 33, 20154-20166, 2020 | 725 | 2020 |
| StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets A Sauer, K Schwarz, A Geiger arXiv preprint arXiv:2202.00273, 2022 | 291 | 2022 |
| Towards unsupervised learning of generative models for 3d controllable image synthesis Y Liao, K Schwarz, L Mescheder, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 140 | 2020 |
| 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 35, 33999-34011, 2022 | 100 | 2022 |
| Arah: Animatable volume rendering of articulated human sdfs S Wang, K Schwarz, A Geiger, S Tang European conference on computer vision, 1-19, 2022 | 79 | 2022 |
| On the Frequency Bias of Generative Models K Schwarz, Y Liao, A Geiger Advances in Neural Information Processing Systems 34, 2021 | 54 | 2021 |
| Spatio-temporal measurements of water-wave height and slope using laser-induced fluorescence and splines K Schwarz | 3 | 2016 |
| Supplementary Material for On the Frequency Bias of Generative Models K Schwarz, Y Liao, A Geiger | | |
| Supplementary Material for Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis Y Liao, K Schwarz, L Mescheder, A Geiger | | |
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterEmail verificata su uni-tuebingen.de
