Johannes Schusterbauer

According to our database, Johannes Schusterbauer authored at least 11 papers between 2024 and 2026.

Collaborative distances:

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

2026

Diffusion Models and Representation Learning: A Survey.

Michael Fuest, Pingchuan Ma, Ming Gui, Johannes Schusterbauer, Vincent Tao Hu, Björn Ommer

IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

Probabilistic Precipitation Nowcasting with Rectified Flow Transformers.

Johannes Schusterbauer, Jannik Wiese, Nick Stracke, Timy Phan, Björn Ommer

CoRR, May, 2026

Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation.

Johannes Schusterbauer, Ming Gui, Yusong Li, Pingchuan Ma, Felix Krause, Björn Ommer

CoRR, April, 2026

Guiding Token-Sparse Diffusion Models.

Felix Krause, Stefan Andreas Baumann, Johannes Schusterbauer, Olga Grebenkova, Ming Gui, Vincent Tao Hu, Björn Ommer

CoRR, January, 2026

2025

Adapting Self-Supervised Representations as a Latent Space for Efficient Generation.

Ming Gui, Johannes Schusterbauer, Timy Phan, Felix Krause, Josh M. Susskind, Miguel Ángel Bautista, Björn Ommer

CoRR, October, 2025

Distillation of Diffusion Features for Semantic Correspondence.

Frank Fundel, Johannes Schusterbauer, Vincent Tao Hu, Björn Ommer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment.

Johannes Schusterbauer, Ming Gui, Frank Fundel, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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