2024W

• Realtime Visualization / 186.191 / VU

• Joint Human-Machine Data Exploration
  2023 – 2026 / Austrian Science Fund (FWF)
  Publications: 187890 / 187891 / 199888 / 216286

• Interactive discovery and exploration of visual bias in generative text‐to‐image models / Eschner, J., Labadie‐Tamayo, R., Zeppelzauer, M., & Waldner, M. (2025). Interactive discovery and exploration of visual bias in generative text‐to‐image models. Computer Graphics Forum, Article e70135. https://doi.org/10.1111/cgf.70135
  Download: PDF (44.1 MB)
  Projects: FAIR-AI (2024–2026) / JDE (2023–2026)
• How to represent landmark trees in digital 3D maps? An automated workflow and user study / Grammatikaki, A., Eschner, J., Ledermann, F., Argudo, O., & Waldner, M. (2025). How to represent landmark trees in digital 3D maps? An automated workflow and user study. Cartography and Geographic Information Science. https://doi.org/10.1080/15230406.2025.2489543
• Illustrative Motion Smoothing for Attention Guidance in Dynamic Visualizations / Eschner, J., Mindek, P., & Waldner, M. (2023). Illustrative Motion Smoothing for Attention Guidance in Dynamic Visualizations. Computer Graphics Forum, 42(3), 361–372. https://doi.org/10.1111/cgf.14836
  Download: PDF (8.67 MB)
• Real-time avalanche risk visualization on a large-scale geospatial dataset / Eschner, J. (2023). Real-time avalanche risk visualization on a large-scale geospatial dataset [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.102961
  Download: PDF (4.53 MB)