Universität Ulm

Michael Glöckler completed his masters degree at the Institute of Media Informatics 2025 before joining the research group Visual Computing. He is involved in the interdisciplinary KEMAI project team, which focuses on medical AI.

Research interests

  • Machine Learning
  • 3D Deep Learning for Medical Images
  • Contrastive Learning

Publications

2 papers
A Survey on Quality Metrics for Text-to-Image Generation
A Survey on Quality Metrics for Text-to-Image Generation
Sebastian Hartwig, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski
TVCG 2025 PDF
Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics
Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics
Sebastian Hartwig, Dominik Engel, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski
arXiv PDF
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