Björn Ommer

Full Professor, Ludwig-Maximilians-Universität München

Joined

February 2019

Names

Björn Ommer (Preferred)

Bjorn Ommer

Bjoern Ommer

Emails

****@uni-heidelberg.de (Confirmed)

****@lmu.de (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Full Professor

Ludwig-Maximilians-Universität München (lmu.de)

2021 – Present

Full Professor

Ruprecht-Karls-Universität Heidelberg (uni-heidelberg.de)

2009 – 2021

Postdoc

University of California, Berkeley (berkeley.edu)

2008 – 2009

PhD student

ETHZ - ETH Zurich (ethz.ch)

2003 – 2008

Undergrad student

Rheinische Friedrich-Wilhelms Universität Bonn (uni-bonn.de)

1998 – 2003

Advisors, Relations & Conflicts

Coauthor

Jitendra Malik

Present

PhD Advisee

Borislav Antic

2011 – 2014

Expertise

visual synthesis

Present

Publications

Reconstructing invariances of CT image denoising networks using invertible neural networks
Elias Eulig, Björn Ommer, Marc Kachelriess
- 15 Mar 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Large-scale interactive retrieval in art collections using multi-style feature aggregation
Nikolai Ufer, Max Simon, Sabine Lang, Björn Ommer
- 07 Nov 2022 (modified: 07 Nov 2022)
- OpenReview Archive Direct Upload
- Readers: Everyone
Bidirectional global to local attention for deep metric learning.
Dmytro Kotovenko, Pingchuan Ma, Timo Milbich, Björn Ommer
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
Retrieval-Augmented Diffusion Models
Andreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, Björn Ommer
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models
Robin Rombach, Andreas Blattmann, Björn Ommer
- 2022 (modified: 14 Sept 2022)
- CoRR 2022
- Readers: Everyone
Sharing Matters for Generalization in Deep Metric Learning
Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer
- 2022 (modified: 14 Sept 2022)
- IEEE Trans. Pattern Anal. Mach. Intell. 2022
- Readers: Everyone
ArtFID: Quantitative Evaluation of Neural Style Transfer
Matthias Wright, Björn Ommer
- 2022 (modified: 14 Sept 2022)
- CoRR 2022
- Readers: Everyone
Retrieval-Augmented Diffusion Models
Andreas Blattmann, Robin Rombach, Kaan Oktay, Björn Ommer
- 2022 (modified: 14 Sept 2022)
- CoRR 2022
- Readers: Everyone
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
- 2022 (modified: 02 Nov 2022)
- CVPR 2022
- Readers: Everyone
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone

View all 155 publications

Co-Authors

View all 99 co-authors