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Andreas Blattmann
Andreas Blattmann
CS PhD student, Heidelberg University
Verified email at iwr.uni-heidelberg.de
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
262022
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
222021
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
162021
Implementation problems of manifolds-based model reduction and their generic solution
P Golda, A Blattmann, A Neagos, V Bykov, U Maas
Combustion Theory and Modelling 24 (3), 377-406, 2020
152020
A novel optimization method for urban resilient and fair power distribution preventing critical network states
SS Ottenburger, HK Çakmak, W Jakob, A Blattmann, D Trybushnyi, ...
International Journal of Critical Infrastructure Protection 29, 100354, 2020
112020
Behavior-driven synthesis of human dynamics
A Blattmann, T Milbich, M Dorkenwald, B Ommer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
72021
Understanding object dynamics for interactive image-to-video synthesis
A Blattmann, T Milbich, M Dorkenwald, B Ommer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
62021
ipoke: Poking a still image for controlled stochastic video synthesis
A Blattmann, T Milbich, M Dorkenwald, B Ommer
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
42021
Image domain adaption of simulated data for human pose estimation
T Golda, A Blattmann, J Metzler, J Beyerer
Artificial intelligence and machine learning in defense applications II …, 2020
32020
Retrieval-Augmented Diffusion Models
A Blattmann, R Rombach, K Oktay, B Ommer
arXiv preprint arXiv:2204.11824, 2022
12022
Invertible neural networks for understanding semantics of invariances of CNN representations
R Rombach, P Esser, A Blattmann, B Ommer
Deep Neural Networks and Data for Automated Driving, 197-224, 2022
12022
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models
R Rombach, A Blattmann, B Ommer
arXiv preprint arXiv:2207.13038, 2022
2022
Supplementary Material Behavior-Driven Synthesis of Human Dynamics
A Blattmann, T Milbich, M Dorkenwald, B Ommer
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Articles 1–13