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Andreas Lugmayr
Andreas Lugmayr
Verified email at vision.ee.ethz.ch
Title
Cited by
Cited by
Year
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
8962022
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
A Lugmayr, M Danelljan, L Van Gool, R Timofte
European conference on computer vision, 2020
3392020
Ntire 2020 challenge on real-world image super-resolution: Methods and results
A Lugmayr, M Danelljan, R Timofte
CVPRW, 2020
1812020
Unsupervised learning for real-world super-resolution
A Lugmayr, M Danelljan, R Timofte
CVF International Conference on Computer Vision Workshop (ICCVW), 3408-3416, 2019
1802019
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
1032019
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
94*
Div8k: Diverse 8k resolution image dataset
S Gu, A Lugmayr, M Danelljan, M Fritsche, J Lamour, R Timofte
CVPRW, 2019
552019
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
462021
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
402021
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
232022
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
18
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
142022
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
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