Björn Ommer
Ruprecht-Karls-Universität Heidelberg
H-index: 40
Europe-Germany
Top articles of Björn Ommer
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Flow Matching for Conditional Text Generation in a Few Sampling Steps | Vincent Hu Di Wu Yuki Asano Pascal Mettes Basura Fernando | 2024/3 | |
May denoising remove structures? How to reconstruct invariances of CT denoising algorithms | Elias Eulig Joscha Maier Björn Ommer Marc Kachelrieß | 2024/4/1 | |
Quantum Denoising Diffusion Models | arXiv preprint arXiv:2401.07049 | Michael Kölle Gerhard Stenzel Jonas Stein Sebastian Zielinski Björn Ommer | 2024/1/13 |
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions | arXiv preprint arXiv:2403.17064 | Stefan Andreas Baumann Felix Krause Michael Neumayr Nick Stracke Vincent Tao Hu | 2024/3/25 |
Benchmarking Deep Learning-Based Low Dose CT Image Denoising Algorithms | arXiv preprint arXiv:2401.04661 | Elias Eulig Björn Ommer Marc Kachelrieß | 2024/1/9 |
Enabling Visual Composition and Animation in Unsupervised Video Generation | arXiv preprint arXiv:2403.14368 | Aram Davtyan Sepehr Sameni Björn Ommer Paolo Favaro | 2024/3/21 |
Zigma: Zigzag mamba diffusion model | arXiv preprint arXiv:2403.13802 | Vincent Tao Hu Stefan Andreas Baumann Ming Gui Olga Grebenkova Pingchuan Ma | 2024/3/20 |
DepthFM: Fast Monocular Depth Estimation with Flow Matching | arXiv preprint arXiv:2403.13788 | Ming Gui Johannes S Fischer Ulrich Prestel Pingchuan Ma Dmytro Kotovenko | 2024/3/20 |
Boosting Latent Diffusion with Flow Matching | arXiv preprint arXiv:2312.07360 | Johannes S Fischer Ming Gui Pingchuan Ma Nick Stracke Stefan A Baumann | 2023/12/12 |
Network for correcting overexposed and underexposed images | 2023/12/5 | ||
Cross-image-attention for conditional embeddings in deep metric learning | Dmytro Kotovenko Pingchuan Ma Timo Milbich Björn Ommer | 2023 | |
Scenegenie: Scene graph guided diffusion models for image synthesis | Azade Farshad Yousef Yeganeh Yu Chi Chengzhi Shen Böjrn Ommer | 2023 | |
State of the art on diffusion models for visual computing | Ryan Po Wang Yifan Vladislav Golyanik Kfir Aberman Jonathan T Barron | 2023/10/11 | |
Motion flow matching for human motion synthesis and editing | arXiv | Vincent Tao Hu Wenzhe Yin Pingchuan Ma Yunlu Chen Basura Fernando | 2023/12/14 |
Guided Diffusion from Self-Supervised Diffusion Features | arXiv preprint arXiv:2312.08825 | Vincent Tao Hu Yunlu Chen Mathilde Caron Yuki M Asano Cees GM Snoek | 2023/12/14 |
Measuring art, counting pixels? The collaboration of art history and computer vision oscillates between quantitative and hermeneutic methods | Peter Bell Björn Ommer | 2023/6/13 | |
Artfid: Quantitative evaluation of neural style transfer | Matthias Wright Björn Ommer | 2022/9/20 | |
High-resolution image synthesis with latent diffusion models | DOI: https://doi. org/10.48550/arXiv | Robin Rombach Andreas Blattmann Dominik Lorenz Patrick Esser Björn Ommer | 2022 |
Neuropathic pain caused by miswiring and abnormal end organ targeting | Nature | Vijayan Gangadharan Hongwei Zheng Francisco J Taberner Jonathan Landry Timo A Nees | 2022/6/2 |
Reconstructing invariances of CT image denoising networks using invertible neural networks | Elias Eulig Björn Ommer Marc Kachelrieß | 2022/10/17 |
