| Repaint: Inpainting using denoising diffusion probabilistic models A Lugmayr, M Danelljan, A Romero, F Yu, R Timofte, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 490 | 2022 |
| SRFlow: Learning the Super-Resolution Space with Normalizing Flow A Lugmayr, M Danelljan, L Van Gool, R Timofte European conference on computer vision, 2020 | 276 | 2020 |
| Ntire 2020 challenge on real-world image super-resolution: Methods and results A Lugmayr, M Danelljan, R Timofte CVPRW, 2020 | 170 | 2020 |
| Unsupervised learning for real-world super-resolution A Lugmayr, M Danelljan, R Timofte CVF International Conference on Computer Vision Workshop (ICCVW), 3408-3416, 2019 | 159 | 2019 |
| Aim 2019 challenge on real-world image super-resolution: Methods and results A Lugmayr, M Danelljan, R Timofte, M Fritsche, S Gu, K Purohit, ... CVF International Conference on Computer Vision Workshop (ICCVW), 3575-3583, 2019 | 99 | 2019 |
| Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling J Liang, A Lugmayr, K Zhang, M Danelljan, L Van Gool, R Timofte | 68* | |
| Div8k: Diverse 8k resolution image dataset S Gu, A Lugmayr, M Danelljan, M Fritsche, J Lamour, R Timofte CVPRW, 2019 | 45 | 2019 |
| NTIRE 2021 learning the super-resolution space challenge A Lugmayr, M Danelljan, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 36 | 2021 |
| Deflow: Learning complex image degradations from unpaired data with conditional flows V Wolf, A Lugmayr, M Danelljan, L Van Gool, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 32 | 2021 |
| NTIRE 2022 challenge on learning the super-resolution space A Lugmayr, M Danelljan, R Timofte, K Kim, Y Kim, J Lee, Z Li, J Pan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 17 | 2022 |
| Unsupervised learning for real-world super-resolution. In 2019 IEEE A Lugmayr, M Danelljan, R Timofte CVF International Conference on Computer Vision Workshop (ICCVW), 3408-3416, 0 | 17 | |
| Normalizing flow as a flexible fidelity objective for photo-realistic super-resolution A Lugmayr, M Danelljan, F Yu, L Van Gool, R Timofte Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 11 | 2022 |
| ReBotNet: Fast Real-time Video Enhancement JMJ Valanarasu, R Garg, A Toor, X Tong, W Xi, A Lugmayr, VM Patel, ... arXiv preprint arXiv:2303.13504, 2023 | | 2023 |
| Generative Image Enhancement A Lugmayr ETH Zurich, 2022 | | 2022 |
Radu TimofteHumboldt Professor for AI and Computer Vision, University of WürzburgVerified email at uni-wuerzburg.de
