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Björn Ommer
Björn Ommer
Professor, Computer Vision & Learning Group (CompVis), University of Munich
Verified email at uni-heidelberg.de - Homepage
Title
Cited by
Cited by
Year
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
90502022
Proceedings of the IEEE conference on computer vision and pattern recognition
K He, X Zhang, S Ren, J Sun
41872016
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
20132021
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
4972018
Asynchronous therapy restores motor control by rewiring of the rat corticospinal tract after stroke
AS Wahl, W Omlor, JC Rubio, JL Chen, H Zheng, A Schröter, M Gullo, ...
Science 344 (6189), 1250-1255, 2014
3512014
A style-aware content loss for real-time hd style transfer
A Sanakoyeu, D Kotovenko, S Lang, B Ommer
proceedings of the European conference on computer vision (ECCV), 698-714, 2018
2502018
Video Parsing for Abnormality Detection
B Antic, B Ommer
ICCV, 2011
196*2011
Revisiting training strategies and generalization performance in deep metric learning
K Roth, T Milbich, S Sinha, P Gupta, B Ommer, JP Cohen
International Conference on Machine Learning, 8242-8252, 2020
1852020
Learning multi-scale photo exposure correction
M Afifi, KG Derpanis, B Ommer, MS Brown
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1722021
Unsupervised part-based disentangling of object shape and appearance
D Lorenz, L Bereska, T Milbich, B Ommer
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1662019
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
1632021
Content and style disentanglement for artistic style transfer
D Kotovenko, A Sanakoyeu, S Lang, B Ommer
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
1632019
Divide and conquer the embedding space for metric learning
A Sanakoyeu, V Tschernezki, U Buchler, B Ommer
Proceedings of the ieee/cvf conference on computer vision and pattern …, 2019
1512019
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
1332021
Improving spatiotemporal self-supervision by deep reinforcement learning
U Buchler, B Brattoli, B Ommer
Proceedings of the European conference on computer vision (ECCV), 770-786, 2018
1322018
Cliquecnn: Deep unsupervised exemplar learning
MA Bautista, A Sanakoyeu, E Tikhoncheva, B Ommer
Advances in Neural Information Processing Systems 29, 2016
1242016
Mic: Mining interclass characteristics for improved metric learning
K Roth, B Brattoli, B Ommer
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
1122019
Multi-scale object detection by clustering lines
B Ommer, J Malik
2009 IEEE 12th International Conference on Computer Vision, 484-491, 2009
1032009
Retrieval-augmented diffusion models
A Blattmann, R Rombach, K Oktay, J Müller, B Ommer
Advances in Neural Information Processing Systems 35, 15309-15324, 2022
1022022
Cross and learn: Cross-modal self-supervision
N Sayed, B Brattoli, B Ommer
Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019
982019
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