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2020 – today
- 2024
[c3]Frederic Boesel, Robin Rombach:
Improving Image Editing Models with Generative Data Refinement. Tiny Papers @ ICLR 2024- [c2]Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, Dustin Podell, Tim Dockhorn, Zion English, Robin Rombach:
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. ICML 2024 - [i2]Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, Dustin Podell, Tim Dockhorn, Zion English, Kyle Lacey, Alex Goodwin, Yannik Marek, Robin Rombach:
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. CoRR abs/2403.03206 (2024) - [i1]Axel Sauer, Frederic Boesel, Tim Dockhorn, Andreas Blattmann, Patrick Esser, Robin Rombach:
Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation. CoRR abs/2403.12015 (2024) - 2023
- [c1]Frederic Boesel
, Livio Schläpfer, Haris Pozidis, Mitch Gusat:
Multivariate Anomaly Detection with Domain Clustering. SoCC 2023: 193-199 - 2021
- [j1]Jens Nußberger, Frederic Boesel, Stefan Lenz, Harald Binder, Moritz Hess:
Synthetic observations from deep generative models and binary omics data with limited sample size. Briefings Bioinform. 22(4) (2021)
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