| 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 | 6891 | 2022 |
| 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 | 1740 | 2021 |
| Sdxl: Improving latent diffusion models for high-resolution image synthesis D Podell, Z English, K Lacey, A Blattmann, T Dockhorn, J Müller, J Penna, ... arXiv preprint arXiv:2307.01952, 2023 | 331 | 2023 |
| Align your latents: High-resolution video synthesis with latent diffusion models A Blattmann, R Rombach, H Ling, T Dockhorn, SW Kim, S Fidler, K Kreis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 329 | 2023 |
| On distillation of guided diffusion models C Meng, R Rombach, R Gao, D Kingma, S Ermon, J Ho, T Salimans Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 204 | 2023 |
| 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 | 125 | 2021 |
| 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), 10674-10685, 2021 | 121 | 2021 |
| Retrieval-augmented diffusion models A Blattmann, R Rombach, K Oktay, J Müller, B Ommer Advances in Neural Information Processing Systems 35, 15309-15324, 2022 | 87 | 2022 |
| 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 | 77 | 2021 |
| 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 | 71 | 2020 |
| Stable video diffusion: Scaling latent video diffusion models to large datasets A Blattmann, T Dockhorn, S Kulal, D Mendelevitch, M Kilian, D Lorenz, ... arXiv preprint arXiv:2311.15127, 2023 | 70 | 2023 |
| 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 | 45 | 2020 |
| Text-guided synthesis of artistic images with retrieval-augmented diffusion models R Rombach, A Blattmann, B Ommer arXiv preprint arXiv:2207.13038, 2022 | 44 | 2022 |
| Stochastic image-to-video synthesis using cinns M Dorkenwald, T Milbich, A Blattmann, R Rombach, KG Derpanis, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 44 | 2021 |
| Neuralfield-ldm: Scene generation with hierarchical latent diffusion models SW Kim, B Brown, K Yin, K Kreis, K Schwarz, D Li, R Rombach, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 29 | 2023 |
| Adversarial diffusion distillation A Sauer, D Lorenz, A Blattmann, R Rombach arXiv preprint arXiv:2311.17042, 2023 | 27 | 2023 |
| High-resolution complex scene synthesis with transformers M Jahn, R Rombach, B Ommer arXiv preprint arXiv:2105.06458, 2021 | 26 | 2021 |
| Semi-parametric neural image synthesis A Blattmann, R Rombach, K Oktay, J Müller, B Ommer arXiv preprint arXiv:2204.11824, 2022 | 23 | 2022 |
| A note on data biases in generative models P Esser, R Rombach, B Ommer arXiv preprint arXiv:2012.02516, 2020 | 21 | 2020 |
| 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 | 18 | 2020 |
