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2020 – today
- 2024
[c6]Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach:
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis. ICLR 2024- [c5]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 - [i11]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) - [i10]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
- [j1]Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis:
Differentially Private Diffusion Models. Trans. Mach. Learn. Res. 2023 (2023) - [c4]Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, Karsten Kreis:
Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models. CVPR 2023: 22563-22575 - [i9]Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, Karsten Kreis:
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models. CoRR abs/2304.08818 (2023) - [i8]Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach:
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis. CoRR abs/2307.01952 (2023) - [i7]Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, Varun Jampani, Robin Rombach:
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets. CoRR abs/2311.15127 (2023) - 2022
- [c3]Tim Dockhorn, Arash Vahdat, Karsten Kreis:
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion. ICLR 2022 - [c2]Tim Dockhorn, Arash Vahdat, Karsten Kreis:
GENIE: Higher-Order Denoising Diffusion Solvers. NeurIPS 2022 - [i6]Tim Dockhorn, Arash Vahdat, Karsten Kreis:
GENIE: Higher-Order Denoising Diffusion Solvers. CoRR abs/2210.05475 (2022) - [i5]Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis:
Differentially Private Diffusion Models. CoRR abs/2210.09929 (2022) - 2021
- [c1]Tim Dockhorn, Yaoliang Yu, Eyyüb Sari, Mahdi Zolnouri, Vahid Partovi Nia:
Demystifying and Generalizing BinaryConnect. NeurIPS 2021: 13202-13216 - [i4]Tim Dockhorn, Yaoliang Yu, Eyyüb Sari, Mahdi Zolnouri, Vahid Partovi Nia:
Demystifying and Generalizing BinaryConnect. CoRR abs/2110.13220 (2021) - [i3]Tim Dockhorn, Arash Vahdat, Karsten Kreis:
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion. CoRR abs/2112.07068 (2021) - 2020
- [i2]Tim Dockhorn, James A. Ritchie, Yaoliang Yu, Iain Murray:
Density Deconvolution with Normalizing Flows. CoRR abs/2006.09396 (2020)
2010 – 2019
- 2019
- [i1]Tim Dockhorn:
A Discussion on Solving Partial Differential Equations using Neural Networks. CoRR abs/1904.07200 (2019)
Coauthor Index
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