Björn Ommer

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 124

Top Venues

Publications

Vincent Tao Hu, Di Wu, Yuki Markus Asano, Pascal Mettes, Basura Fernando, Björn Ommer, Cees Snoek
Flow Matching for Conditional Text Generation in a Few Sampling Steps. EACL (2) (2024)
Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, Claudia Linnhoff-Popien
Quantum Denoising Diffusion Models. CoRR (2024)
Michael Fuest, Pingchuan Ma, Ming Gui, Johannes S. Fischer, Vincent Tao Hu, Björn Ommer
Diffusion Models and Representation Learning: A Survey. CoRR (2024)
Ming Gui, Johannes S. Fischer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer
DepthFM: Fast Monocular Depth Estimation with Flow Matching. CoRR (2024)
Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit Bermano, Eric R. Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein
State of the Art on Diffusion Models for Visual Computing. Comput. Graph. Forum 43 (2) (2024)
Stefan Andreas Baumann, Felix Krause, Michael Neumayr, Nick Stracke, Vincent Tao Hu, Björn Ommer
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions. CoRR (2024)
Jiajun Wang, Morteza Ghahremani, Yitong Li, Björn Ommer, Christian Wachinger
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation. CoRR (2024)
Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
On the Challenges and Opportunities in Generative AI. CoRR (2024)
Nick Stracke, Stefan Andreas Baumann, Joshua M. Susskind, Miguel Ángel Bautista, Björn Ommer
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models. CoRR (2024)
Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Björn Ommer
ZigMa: A DiT-style Zigzag Mamba Diffusion Model. CoRR (2024)
Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro
Enabling Visual Composition and Animation in Unsupervised Video Generation. CoRR (2024)
Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis. ICCV (Workshops) (2023)
Johannes S. Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan A. Baumann, Björn Ommer
Boosting Latent Diffusion with Flow Matching. CoRR (2023)
Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis. CoRR (2023)
Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, Björn Ommer
Guided Diffusion from Self-Supervised Diffusion Features. CoRR (2023)
Dmytro Kotovenko, Pingchuan Ma, Timo Milbich, Björn Ommer
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning. CVPR (2023)
Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M. Asano, Efstratios Gavves, Pascal Mettes, Björn Ommer, Cees G. M. Snoek
Motion Flow Matching for Human Motion Synthesis and Editing. CoRR (2023)
Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein
State of the Art on Diffusion Models for Visual Computing. CoRR (2023)
Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer
Improving Deep Metric Learning by Divide and Conquer. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Andreas Blattmann, Robin Rombach, Kaan Oktay, Björn Ommer
Retrieval-Augmented Diffusion Models. CoRR (2022)
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
High-Resolution Image Synthesis with Latent Diffusion Models. CVPR (2022)
Matthias Wright, Björn Ommer
ArtFID: Quantitative Evaluation of Neural Style Transfer. CoRR (2022)
Matthias Wright, Björn Ommer
ArtFID: Quantitative Evaluation of Neural Style Transfer. GCPR (2022)
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
Maximizing Mutual Shape Information. BMVC (2022)
Robin Rombach, Andreas Blattmann, Björn Ommer
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models. CoRR (2022)
Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer
Sharing Matters for Generalization in Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Andreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, Björn Ommer
Retrieval-Augmented Diffusion Models. NeurIPS (2022)
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
High-Resolution Image Synthesis with Latent Diffusion Models. CoRR (2021)
Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer
Improving Deep Metric Learning by Divide and Conquer. CoRR (2021)
Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
Understanding Object Dynamics for Interactive Image-to-Video Synthesis. CoRR (2021)
Stefan Andreas Baur, David Josef Emmerichs, Frank Moosmann, Peter Pinggera, Björn Ommer, Andreas Geiger
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation. ICCV (2021)
David Emmerichs, Peter Pinggera, Björn Ommer
VelocityNet: Motion-Driven Feature Aggregation for 3D Object Detection in Point Cloud Sequences. ICRA (2021)
Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. NeurIPS (2021)
Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. CoRR (2021)
Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer
Stochastic Image-to-Video Synthesis using cINNs. CoRR (2021)
Dmytro Kotovenko, Matthias Wright, Arthur Heimbrecht, Björn Ommer
Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes. CVPR (2021)
Robin Rombach, Patrick Esser, Björn Ommer
Geometry-Free View Synthesis: Transformers and no 3D Priors. CoRR (2021)
Patrick Esser, Robin Rombach, Björn Ommer
Taming Transformers for High-Resolution Image Synthesis. CVPR (2021)
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
Shape or Texture: Understanding Discriminative Features in CNNs. CoRR (2021)
Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis. CoRR (2021)
Faegheh Sardari, Björn Ommer, Majid Mirmehdi
Unsupervised View-Invariant Human Posture Representation. CoRR (2021)
Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer
Unsupervised behaviour analysis and magnification (uBAM) using deep learning. Nat. Mach. Intell. 3 (6) (2021)
Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis. NeurIPS (2021)
Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. ICML (2021)
Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
Behavior-Driven Synthesis of Human Dynamics. CVPR (2021)
Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis. ICCV (2021)
Manuel Jahn, Robin Rombach, Björn Ommer
High-Resolution Complex Scene Synthesis with Transformers. CoRR (2021)
Sabine Lang, Björn Ommer
Transforming Information Into Knowledge: How Computational Methods Reshape Art History. Digit. Humanit. Q. 15 (3) (2021)
Nikolai Ufer, Sabine Lang, Björn Ommer
Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Voting. CoRR (2021)
Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer
Stochastic Image-to-Video Synthesis Using cINNs. CVPR (2021)
Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
Understanding Object Dynamics for Interactive Image-to-Video Synthesis. CVPR (2021)
Dmytro Kotovenko, Matthias Wright, Arthur Heimbrecht, Björn Ommer
Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes. CoRR (2021)
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
Shape or Texture: Understanding Discriminative Features in CNNs. ICLR (2021)
Faegheh Sardari, Björn Ommer, Majid Mirmehdi
Unsupervised View-Invariant Human Posture Representation. BMVC (2021)
Robin Rombach, Patrick Esser, Björn Ommer
Geometry-Free View Synthesis: Transformers and no 3D Priors. ICCV (2021)
Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
Behavior-Driven Synthesis of Human Dynamics. CoRR (2021)
Mahmoud Afifi, Konstantinos G. Derpanis, Björn Ommer, Michael S. Brown
Learning Multi-Scale Photo Exposure Correction. CVPR (2021)
Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis. CoRR (2021)
Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. ECCV (8) (2020)
Sandro Braun, Patrick Esser, Björn Ommer
Unsupervised Part Discovery by Unsupervised Disentanglement. CoRR (2020)
Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer
A Content Transformation Block For Image Style Transfer. CoRR (2020)
Patrick Esser, Robin Rombach, Björn Ommer
A Disentangling Invertible Interpretation Network for Explaining Latent Representations. CVPR (2020)
Sandro Braun, Patrick Esser, Björn Ommer
Unsupervised Part Discovery by Unsupervised Disentanglement. GCPR (2020)
Karsten Roth, Timo Milbich, Björn Ommer
PADS: Policy-Adapted Sampling for Visual Similarity Learning. CoRR (2020)
Patrick Esser, Robin Rombach, Björn Ommer
Taming Transformers for High-Resolution Image Synthesis. CoRR (2020)
Nikolai Ufer, Sabine Lang, Björn Ommer
Object Retrieval and Localization in Large Art Collections Using Deep Multi-style Feature Fusion and Iterative Voting. ECCV Workshops (2) (2020)
Timo Milbich, Omair Ghori, Ferran Diego, Björn Ommer
Unsupervised representation learning by discovering reliable image relations. Pattern Recognit. 102 (2020)
Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. CoRR (2020)
Michael Dorkenwald, Uta Büchler, Björn Ommer
Unsupervised Magnification of Posture Deviations Across Subjects. CVPR (2020)
Patrick Esser, Robin Rombach, Björn Ommer
A Note on Data Biases in Generative Models. CoRR (2020)
Robin Rombach, Patrick Esser, Björn Ommer
Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs. CoRR (2020)
Mahmoud Afifi, Konstantinos G. Derpanis, Björn Ommer, Michael S. Brown
Learning to Correct Overexposed and Underexposed Photos. CoRR (2020)
Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. CoRR (2020)
Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. CoRR (2020)
Karsten Roth, Timo Milbich, Björn Ommer
PADS: Policy-Adapted Sampling for Visual Similarity Learning. CVPR (2020)
Robin Rombach, Patrick Esser, Björn Ommer
Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs. ECCV (17) (2020)
Robin Rombach, Patrick Esser, Björn Ommer
Network Fusion for Content Creation with Conditional INNs. CoRR (2020)
Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer
uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning. CoRR (2020)
Robin Rombach, Patrick Esser, Björn Ommer
Network-to-Network Translation with Conditional Invertible Neural Networks. NeurIPS (2020)
Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. ICML (2020)
Patrick Esser, Robin Rombach, Björn Ommer
A Disentangling Invertible Interpretation Network for Explaining Latent Representations. CoRR (2020)
Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer
Sharing Matters for Generalization in Deep Metric Learning. CoRR (2020)
Patrick Esser, Johannes Haux, Björn Ommer
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis. ICCV (2019)
Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer
Unsupervised Part-Based Disentangling of Object Shape and Appearance. CoRR (2019)
Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer
A Content Transformation Block for Image Style Transfer. CVPR (2019)
Nikolai Ufer, Kam To Lui, Katja Schwarz, Paul Warkentin, Björn Ommer
Multi-Scale Convolutions for Learning Context Aware Feature Representations. CoRR (2019)
Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer
Divide and Conquer the Embedding Space for Metric Learning. CVPR (2019)
Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer
Divide and Conquer the Embedding Space for Metric Learning. CoRR (2019)
Biagio Brattoli, Karsten Roth, Björn Ommer
MIC: Mining Interclass Characteristics for Improved Metric Learning. ICCV (2019)
Nikolai Ufer, Kam To Lui, Katja Schwarz, Paul Warkentin, Björn Ommer
Weakly Supervised Learning of Dense Semantic Correspondences and Segmentation. GCPR (2019)
Dmytro Kotovenko, Artsiom Sanakoyeu, Sabine Lang, Björn Ommer
Content and Style Disentanglement for Artistic Style Transfer. ICCV (2019)
Patrick Esser, Johannes Haux, Björn Ommer
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis. CoRR (2019)
Timo Milbich, Omair Ghori, Ferran Diego, Björn Ommer
Unsupervised Representation Learning by Discovering Reliable Image Relations. CoRR (2019)
Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer
Unsupervised Part-Based Disentangling of Object Shape and Appearance. CVPR (2019)
Karsten Roth, Biagio Brattoli, Björn Ommer
MIC: Mining Interclass Characteristics for Improved Metric Learning. CoRR (2019)
Simon Donig, Siegfried Handschuh, Erik Radisch, Malte Rehbein, Canan Hastik, Hubertus Kohle, Björn Ommer
Der ferne Blick. Bildkorpora und Computer Vision in den Geistes- und Kulturwissenschaften - Stand - Visionen - Implikationen. DHd (2018)
Patrick Esser, Ekaterina Sutter, Björn Ommer
A Variational U-Net for Conditional Appearance and Shape Generation. CoRR (2018)
Omair Ghori, Radek Mackowiak, Miguel Ángel Bautista, Niklas Beuter, Lucas Drumond, Ferran Diego, Björn Ommer
Learning to Forecast Pedestrian Intention from Pose Dynamics. Intelligent Vehicles Symposium (2018)
Sabine Lang, Björn Ommer
Attesting similarity: Supporting the organization and study of art image collections with computer vision. Digit. Scholarsh. Humanit. 33 (4) (2018)
Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer
A Style-Aware Content Loss for Real-Time HD Style Transfer. ECCV (8) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Björn Ommer