Baumann, Stefan Andreas

10 publications

CVPR 2025 CleanDIFT: Diffusion Features Without Noise Nick Stracke, Stefan Andreas Baumann, Kolja Bauer, Frank Fundel, Björn Ommer

CVPR 2025 Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions Stefan Andreas Baumann, Felix Krause, Michael Neumayr, Nick Stracke, Melvin Sevi, Vincent Tao Hu, 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

NeurIPS 2025 DisMo: Disentangled Motion Representations for Open-World Motion Transfer Thomas Ressler-Antal, Frank Fundel, Malek Ben Alaya, Stefan Andreas Baumann, Felix Krause, Ming Gui, Björn Ommer

ICCV 2025 TREAD: Token Routing for Efficient Architecture-Agnostic Diffusion Training Felix Krause, Timy Phan, Ming Gui, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

ICCV 2025 What if: Understanding Motion Through Sparse Interactions Stefan Andreas Baumann, Nick Stracke, Timy Phan, Björn Ommer

ECCV 2024 CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models Nick Stracke, Stefan Andreas Baumann, Joshua Susskind, Miguel Angel Bautista, Bjorn Ommer

ECCV 2024 FMBoost: Boosting Latent Diffusion with Flow Matching Johannes S Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

ICML 2024 Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers Katherine Crowson, Stefan Andreas Baumann, Alex Birch, Tanishq Mathew Abraham, Daniel Z Kaplan, Enrico Shippole

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