| High-resolution image synthesis with latent diffusion models R Rombach, A Blattmann, D Lorenz, P Esser, B Ommer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 9408 | 2022 |
| Proceedings of the IEEE conference on computer vision and pattern recognition K He, X Zhang, S Ren, J Sun | 4220 | 2016 |
| Taming transformers for high-resolution image synthesis P Esser, R Rombach, B Ommer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 2059 | 2021 |
| A variational u-net for conditional appearance and shape generation P Esser, E Sutter, B Ommer Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 498 | 2018 |
| Structure and content-guided video synthesis with diffusion models P Esser, J Chiu, P Atighehchian, J Granskog, A Germanidis Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 304 | 2023 |
| High-resolution image synthesis with latent diffusion models. 2022 IEEE R Rombach, A Blattmann, D Lorenz, P Esser, B Ommer CVF Conference on Computer Vision and Pattern Recognition (CVPR) 1, 2021 | 167 | 2021 |
| Imagebart: Bidirectional context with multinomial diffusion for autoregressive image synthesis P Esser, R Rombach, A Blattmann, B Ommer Advances in neural information processing systems 34, 3518-3532, 2021 | 136 | 2021 |
| Geometry-free view synthesis: Transformers and no 3d priors R Rombach, P Esser, B Ommer Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 83 | 2021 |
| 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 | 81 | 2024 |
| A disentangling invertible interpretation network for explaining latent representations P Esser, R Rombach, B Ommer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 78 | 2020 |
| Shape or texture: Understanding discriminative features in cnns MA Islam, M Kowal, P Esser, S Jia, B Ommer, KG Derpanis, N Bruce arXiv preprint arXiv:2101.11604, 2021 | 68 | 2021 |
| High-resolution image synthesis with latent diffusion models, 2021 R Rombach, A Blattmann, D Lorenz, P Esser, B Ommer | 63 | 2021 |
| Network-to-network translation with conditional invertible neural networks R Rombach, P Esser, B Ommer Advances in Neural Information Processing Systems 33, 2784-2797, 2020 | 46 | 2020 |
| High-resolution image synthesis with latent diffusion models. arXiv 2021 R Rombach, A Blattmann, D Lorenz, P Esser, B Ommer arXiv preprint arXiv:2112.10752, 2021 | 43 | 2021 |
| Unsupervised robust disentangling of latent characteristics for image synthesis P Esser, J Haux, B Ommer Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 39 | 2019 |
| Towards learning a realistic rendering of human behavior P Esser, J Haux, T Milbich Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 27 | 2018 |
| A note on data biases in generative models P Esser, R Rombach, B Ommer arXiv preprint arXiv:2012.02516, 2020 | 21 | 2020 |
| 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 | 18 | 2024 |
| High-resolution image synthesis with latent diffusion models. arXiv R Rombach, A Blattmann, D Lorenz, P Esser, B Ommer DOI: https://doi. org/10.48550/arXiv 2112, 2022 | 17 | 2022 |
| Making sense of cnns: Interpreting deep representations and their invariances with inns R Rombach, P Esser, B Ommer Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 17 | 2020 |
