Prof. Dr. Björn Ommer

Chair of Machine Vision and Learning, Computer Vision & Learning Group | Ludwig-Maximilians-Universität in Munich

Chair of AI for Computer Vision and Digital Humanities / the Arts, Ludwig-Maximilians University Munich

Publications

  • Gui, Ming; Fischer, Johannes S.; Prestel, Ulrich; Ma, Pingchuan; Kotovenko, Dmytro; Grebenkova, Olga; Baumann, Stefan Andreas; Hu, Vincent Tao; Ommer, Björn (2024)

    DepthFM: Fast Monocular Depth Estimation with Flow Matching

    Conference paper
    Project: KLIMA-MEMES
  • Fundel, Frank; Schusterbauer, Johannes; Hu, Vincent Tai; Ommer, Björn (2024)

    Distillation of Diffusion Features for Semantic Correspondence

    Conference paper
    Project: KLIMA-MEMES
  • Kotovenko, Dmytro; Ma, Pingchuan; Milbich, Timo; Ommer, Björn (2024)

    Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning

    Conference paper
    https://openaccess.thecvf.com/content/CVPR2023/papers/Kotovenko_Cross-Image-Attention_for_Conditional_Embeddings_in_Deep_Metric_Learning_CVPR_2023_paper.pdf
    Project: KLIMA-MEMES
  • Schusterbauer, Johannes; Gui, Ming; Fundel, Frank; Ommer, Björn (2025)

    Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment

    Conference paper
    https://doi.org/10.48550/arXiv.2506.02221
    Project: KLIMA-MEMES
  • Fundel, Frank; Schusterbauer, Johannes; Hu, Vincent Tao; Ommer, Björn (2025)

    Distillation of Diffusion Features for Semantic Correspondence

    DistillDIFT

    Conference paper
    https://arxiv.org/abs/2412.03512
    Project: KLIMA-MEMES
  • Ma, Pingchuan; Rietdorf, Lennart; Kotovenko, Dmytro; Hu, Vincent Tao; Ommer, Björn (2025)

    Does VLM Classification Benefit from LLM Description Semantics?

    Conference paper
    https://doi.org/10.48550/arXiv.2412.03512
    Project: KLIMA-MEMES
  • Gui, Ming; Schusterbauer, Johannes; Prestel, Ulrich; Ma, Pingchuan; Kotovenko, Dmytro; Grebenkova, Olga; Baumann, Stefan Andreas; Hu, Vincent Tao; Ommer, Björn (2025)

    Fast Monocular Depth Estimation with Flow Matching

    DepthFM

    Conference paper
    https://doi.org/10.48550/arXiv.2403.13788
    Project: KLIMA-MEMES
  • Schusterbauer, Johannes; Gui, Ming; Fundel, Frank; Ommer, Björn (2025)

    Training Flow Matching Models via Diffusion Model Alignment

    Diff2Flow

    Conference paper
    https://doi.org/10.48550/arXiv.2506.02221
    Project: KLIMA-MEMES
  • Baumann, Stefan Andreas; Krause, Felix; Neumayr, Michael; Stracke, Nick; Sevi, Melvin; Hu, Vincent Tao; Ommer, Björn (2025)

    Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions

    Conference paper
    https://doi.org/10.48550/arXiv.2403.17064
    Project: KLIMA-MEMES
  • Stracke, Nick; Baumann, Stefan Andreas; Bauer, Kolja; Fundel, Frank; Ommer, Björn (2025)

    Diffusion Features without Noise

    CleanDIFT

    Conference paper
    https://doi.org/10.48550/arXiv.2412.03439
    Project: KLIMA-MEMES
  • Krause, Felix; Phan, Timy; Gui, Ming; Baumann, Stefan Andreas; Hu, Vincent Tao; Ommer, Björn (2025)

    Token Routing for Efficient Architecture-agnostic Diffusion Training

    TREAD

    Conference paper
    https://doi.org/10.48550/arXiv.2501.04765
    Project: KLIMA-MEMES
  • Baumann, Stefan Andreas; Stracke, Nick; Phan, Timy; Ommer, Björn (2025)

    Understanding Motion Through Sparse Interactions

    What If

    Conference paper
    https://doi.org/10.48550/arXiv.2510.12777
    Project: KLIMA-MEMES
  • Ma, Pingchuan; Gui, Ming; Schusterbauer, Johannes; Yang, Xiaopei; Grebenkova, Olga; Hu, Vincent Tao; Ommer, Björn (2025)

    Stochastic Interpolants for Revealing Stylistic Flows across the History of Art

    Conference paper
    https://openaccess.thecvf.com/content/ICCV2025/html/Ma_Stochastic_Interpolants_for_Revealing_Stylistic_Flows_across_the_History_of_ICCV_2025_paper.html
    Project: KLIMA-MEMES
  • Ma, Pingchuan; Yang, Xiaopei; Li, Yusong; Gui, Ming; Krause, Felix; Schusterbauer, Johannes; Ommer, Björn (2025)

    Implicitly Learning Style and Content Disentanglement with Flow Models

    SCFlow

    Conference paper
    https://doi.org/10.48550/arXiv.2508.03402
    Project: KLIMA-MEMES
  • Governing AI innovation for good

    Vortrag
    Project: KLIMA-MEMES
  • Diff2Flow

    Training Flow Matching Models via Diffusion Model Alignment

    Vortrag
    Project: KLIMA-MEMES
  • Generative KI und die Zukunft der Intelligenz

    Vortrag
    Project: KLIMA-MEMES
  • Generative KI und die Zukunft von Intelligenz

    Vortrag
    Project: KLIMA-MEMES