Andreas Blattmann

According to our database, Andreas Blattmann authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation.

Axel Sauer, Frederic Boesel, Tim Dockhorn, Andreas Blattmann, Patrick Esser, Robin Rombach

CoRR, 2024

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

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

CoRR, 2024

2023

Adversarial Diffusion Distillation.

Axel Sauer, Dominik Lorenz, Andreas Blattmann, Robin Rombach

CoRR, 2023

Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, Varun Jampani, Robin Rombach

CoRR, 2023

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach

CoRR, 2023

Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models.

Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, Karsten Kreis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models.

Robin Rombach, Andreas Blattmann, Björn Ommer

CoRR, 2022

Retrieval-Augmented Diffusion Models.

Andreas Blattmann, Robin Rombach, Kaan Oktay, Björn Ommer

CoRR, 2022

Retrieval-Augmented Diffusion Models.

Andreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, Björn Ommer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

High-Resolution Image Synthesis with Latent Diffusion Models.

Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis.

Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis.

Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Stochastic Image-to-Video Synthesis Using cINNs.

Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Behavior-Driven Synthesis of Human Dynamics.

Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Understanding Object Dynamics for Interactive Image-to-Video Synthesis.

Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A novel optimization method for urban resilient and fair power distribution preventing critical network states.

Sadeeb Simon Ottenburger, Hüseyin Kemâl Çakmak, Wilfried Jakob, Andreas Blattmann, Dmytro Trybushnyi, Wolfgang Raskob, Uwe G. Kühnapfel, Veit Hagenmeyer

Int. J. Crit. Infrastructure Prot., 2020