Schusterbauer, Johannes

7 publications

ICLR 2026 Adapting Self-Supervised Representations as a Latent Space for Efficient Generation Ming Gui, Johannes Schusterbauer, Timy Phan, Felix Krause, Joshua M. Susskind, Miguel Ángel Bautista, Björn Ommer

AAAI 2025 DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching Ming Gui, Johannes Schusterbauer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

CVPR 2025 Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment Johannes Schusterbauer, Ming Gui, Frank Fundel, Björn Ommer

WACV 2025 Distillation of Diffusion Features for Semantic Correspondence Frank Fundel, Johannes Schusterbauer, Vincent Tao Hu, Björn Ommer

ICCV 2025 SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Pingchuan Ma, Xiaopei Yang, Yusong Li, Ming Gui, Felix Krause, Johannes Schusterbauer, Björn Ommer

ICCV 2025 Stochastic Interpolants for Revealing Stylistic Flows Across the History of Art Pingchuan Ma, Ming Gui, Johannes Schusterbauer, Xiaopei Yang, Olga Grebenkova, Vincent Tao Hu, Björn Ommer

ICMLW 2024 ZigMa: A DiT-Style Zigzag Mamba Diffusion Model Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes Schusterbauer, Björn Ommer