2 papers
cs.CV2025
LeDiFlow: Learned Distribution-guided Flow Matching to Accelerate Image Generation
Pascal Zwick, Nils Friederich, Maximilian Beichter +3
Enhancing the efficiency of high-quality image generation using Diffusion Models (DMs) is a significant challenge due to the iterative nature of the process. Flow Matching (FM) is…
cs.CV2023
AI-based automated active learning for discovery of hidden dynamic processes: A use case in light microscopy
Nils Friederich, Angelo Yamachui Sitcheu, Oliver Neumann +4
In the biomedical environment, experiments assessing dynamic processes are primarily performed by a human acquisition supervisor. Contemporary implementations of such experiments f…