Nick Stracke

According to our database, Nick Stracke authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

RayDer: Scalable Self-Supervised Novel View Synthesis from Real-World Video.

Ulrich Prestel, Stefan Andreas Baumann, Nick Stracke, Björn Ommer

CoRR, May, 2026

Probabilistic Precipitation Nowcasting with Rectified Flow Transformers.

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

CoRR, May, 2026

Learning Long-term Motion Embeddings for Efficient Kinematics Generation.

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

CoRR, April, 2026

2025

What If: Understanding Motion Through Sparse Interactions.

Stefan Andreas Baumann, Nick Stracke, Timy Phan, Björn Ommer

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

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

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

2023

Boosting Latent Diffusion with Flow Matching.

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

CoRR, 2023