Stefan Andreas Baumann

18 papers A* 4Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Guiding Token-Sparse Diffusion Models.
CoRR
Felix Krause, Stefan Andreas Baumann, Johannes Schusterbauer, Olga Grebenkova, Ming Gui, Vincent Tao Hu, Björn Ommer
2025 A* conf
CleanDIFT: Diffusion Features without Noise.
CVPR
Nick Stracke, Stefan Andreas Baumann, Kolja Bauer, Frank Fundel, Björn Ommer
2025 A* conf
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions.
CVPR
Stefan Andreas Baumann, Felix Krause, Michael Neumayr, Nick Stracke, Melvin Sevi, Vincent Tao Hu, Björn Ommer
2025 A* conf
DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching.
AAAI
Ming Gui, Johannes Schusterbauer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer
2025 J jnl
DisMo: Disentangled Motion Representations for Open-World Motion Transfer.
CoRR
Thomas Ressler-Antal, Frank Fundel, Malek Ben Alaya, Stefan Andreas Baumann, Felix Krause, Ming Gui, Björn Ommer
2025 J jnl
What If : Understanding Motion Through Sparse Interactions.
CoRR
Stefan Andreas Baumann, Nick Stracke, Timy Phan, Björn Ommer
2024 J jnl
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models.
CoRR
Nick Stracke, Stefan Andreas Baumann, Joshua M. Susskind, Miguel Ángel Bautista, Björn Ommer
2024 — conf
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control and Altering of T2I Models.
ECCV (88)
Nick Stracke, Stefan Andreas Baumann, Joshua Susskind, Miguel Ángel Bautista, Björn Ommer
2024 J jnl
CleanDIFT: Diffusion Features without Noise.
CoRR
Nick Stracke, Stefan Andreas Baumann, Kolja Bauer, Frank Fundel, Björn Ommer
2024 J jnl
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions.
CoRR
Stefan Andreas Baumann, Felix Krause, Michael Neumayr, Nick Stracke, Vincent Tao Hu, Björn Ommer
2024 J jnl
DepthFM: Fast Monocular Depth Estimation with Flow Matching.
CoRR
Ming Gui, Johannes S. Fischer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer
2024 — conf
FMBoost: Boosting Latent Diffusion with Flow Matching.
ECCV (61)
Johannes Schusterbauer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer
2024 A* conf
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers.
ICML
Katherine Crowson, Stefan Andreas Baumann, Alex Birch, Tanishq Mathew Abraham, Daniel Z. Kaplan, Enrico Shippole
2024 J jnl
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers.
CoRR
Katherine Crowson, Stefan Andreas Baumann, Alex Birch, Tanishq Mathew Abraham, Daniel Z. Kaplan, Enrico Shippole
2024 — conf
ZigMa: A DiT-style Zigzag Mamba Diffusion Model.
ECCV (21)
Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Björn Ommer
2024 J jnl
ZigMa: A DiT-style Zigzag Mamba Diffusion Model.
CoRR
Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Björn Ommer
2023 J jnl
Boosting Latent Diffusion with Flow Matching.
CoRR
Johannes S. Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Björn Ommer
2021 — conf
Deeper Convolutional Neural Networks and Broad Augmentation Policies Improve Performance in Musical Key Estimation.
ISMIR
Stefan Andreas Baumann