Robin Rombach

According to our database, Robin Rombach authored at least 26 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• 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

SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion.

Vikram Voleti, Chun-Han Yao, Mark Boss, Adam Letts, David Pankratz, Dmitry Tochilkin, Christian Laforte, Robin Rombach, Varun Jampani

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

aMUSEd: An Open MUSE Reproduction.

Suraj Patil, William Berman, Robin Rombach, Patrick von Platen

CoRR, 2024

2023

DiffusionSat: A Generative Foundation Model for Satellite Imagery.

Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon

CoRR, 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

On Distillation of Guided Diffusion Models.

Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans

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

NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models.

Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler

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

High-Resolution Complex Scene Synthesis with Transformers.

Manuel Jahn, Robin Rombach, Björn Ommer

CoRR, 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

Geometry-Free View Synthesis: Transformers and no 3D Priors.

Robin Rombach, Patrick Esser, Björn Ommer

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

Taming Transformers for High-Resolution Image Synthesis.

Patrick Esser, Robin Rombach, Björn Ommer

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

2020

A Note on Data Biases in Generative Models.

Patrick Esser, Robin Rombach, Björn Ommer

CoRR, 2020

Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs.

Robin Rombach, Patrick Esser, Björn Ommer

CoRR, 2020

Network Fusion for Content Creation with Conditional INNs.

Robin Rombach, Patrick Esser, Björn Ommer

CoRR, 2020

Network-to-Network Translation with Conditional Invertible Neural Networks.

Robin Rombach, Patrick Esser, Björn Ommer

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs.

Robin Rombach, Patrick Esser, Björn Ommer

Proceedings of the Computer Vision - ECCV 2020, 2020

A Disentangling Invertible Interpretation Network for Explaining Latent Representations.

Patrick Esser, Robin Rombach, Björn Ommer

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020