Follow
Patrick Esser
Patrick Esser
Unknown affiliation
No verified email - 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
152102022
Proceedings of the IEEE conference on computer vision and pattern recognition
K He, X Zhang, S Ren, J Sun
46992016
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
28002021
Scaling rectified flow transformers for high-resolution image synthesis
P Esser, S Kulal, A Blattmann, R Entezari, J Müller, H Saini, Y Levi, ...
Forty-first International Conference on Machine Learning, 2024
5772024
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
5252018
Structure and content-guided video synthesis with diffusion models
P Esser, J Chiu, P Atighehchian, J Granskog, A Germanidis
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
4862023
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
2772021
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
1542021
High-resolution image synthesis with latent diffusion models, 2021
R Rombach, A Blattmann, D Lorenz, P Esser, B Ommer
1152021
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
972021
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
922020
Shape or texture: Understanding discriminative features in cnns
MA Islam, M Kowal, P Esser, S Jia, B Ommer, KG Derpanis, N Bruce
arXiv preprint arXiv:2101.11604, 2021
812021
Fast high-resolution image synthesis with latent adversarial diffusion distillation
A Sauer, F Boesel, T Dockhorn, A Blattmann, P Esser, R Rombach
SIGGRAPH Asia 2024 Conference Papers, 1-11, 2024
752024
High-resolution image synthesis with latent diffusion models. arXiv 2021
R Rombach, A Blattmann, D Lorenz, P Esser, B Ommer
arXiv preprint arXiv:2112.10752, 2021
642021
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
502020
Unsupervised robust disentangling of latent characteristics for image synthesis
P Esser, J Haux, B Ommer
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
412019
Towards learning a realistic rendering of human behavior
P Esser, J Haux, T Milbich
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
282018
High-resolution image synthesis with latent diffusion models. arXiv
R Rombach, A Blattmann, D Lorenz, P Esser, B Ommer
DOI: https://doi. org/10.48550/arXiv 2112, 2022
252022
A note on data biases in generative models
P Esser, R Rombach, B Ommer
arXiv preprint arXiv:2012.02516, 2020
212020
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
192020
The system can't perform the operation now. Try again later.
Articles 1–20