Stefan Andreas Baumann

According to our database, Stefan Andreas Baumann authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

CleanDIFT: Diffusion Features without Noise.

Nick Stracke, Stefan Andreas Baumann, Kolja Bauer, Frank Fundel, Björn Ommer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models.

Nick Stracke, Stefan Andreas Baumann, Joshua M. Susskind, Miguel Ángel Bautista, Björn Ommer

CoRR, 2024

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

Stefan Andreas Baumann, Felix Krause, Michael Neumayr, Nick Stracke, Vincent Tao Hu, Björn Ommer

CoRR, 2024

DepthFM: Fast Monocular Depth Estimation with Flow Matching.

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

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control and Altering of T2I Models.

Nick Stracke, Stefan Andreas Baumann, Joshua Susskind, Miguel Ángel Bautista, Björn Ommer

Proceedings of the Computer Vision - ECCV 2024, 2024

FMBoost: Boosting Latent Diffusion with Flow Matching.

Johannes Schusterbauer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

Proceedings of the Computer Vision - ECCV 2024, 2024

ZigMa: A DiT-style Zigzag Mamba Diffusion Model.

Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Björn Ommer

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Boosting Latent Diffusion with Flow Matching.

Johannes S. Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Björn Ommer

CoRR, 2023

2021

Deeper Convolutional Neural Networks and Broad Augmentation Policies Improve Performance in Musical Key Estimation.

Stefan Andreas Baumann

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021