Rendering and Visualization

In Rendering, algorithms are examined to synthesize images from given virtual 3D-objects or worlds. Rendering methods can be focused on the generation of realistic images (photo-realistic rendering) or the fast synthesis of the images, resulting in fluent movement (real-time rendering). In Visualization, the goal is to render images that are realistic, but that gain insight to all types of data, from measured data (e.g., medical CT scans), simulated data (flow simulation data), or non-spatial, abstract data such as the spread of news in twitter.

Selected publications:

• Keinert B., Martschinke J., Stamminger M.:
  Learning Real-Time Ambient Occlusion from Distance Representations
  ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (Montreal, May 15, 2018 - May 18, 2018)
  DOI: 10.1145/3190834.3190847
  BibTeX: Download
• Hofmann N., Bogendörfer P., Stamminger M., Selgrad K.:
  Hierarchical Multi-Layer Screen-Space Ray Tracing
  High Performance Graphics 2017 (Los Angeles, July 28, 2017 - July 30, 2017)
  In: ACM (ed.): Proceedings of the 9th High-Performance Graphics Conference, Los Angeles: 2017
  DOI: 10.1145/3105762.3105781
  URL: https://dl.acm.org/doi/10.1145/3105762.3105781
  BibTeX: Download
• Franke L., Hofmann N., Stamminger M., Selgrad K.:
  Multi-Layer Depth of Field Rendering with Tiled Splatting
  ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (Montreal, May 15, 2018 - May 18, 2018)
  DOI: 10.1145/3203200
  BibTeX: Download
• Penk D., Müller J., Felfer P., Grosso R., Stamminger M.:
  Visualization Aided Interface Reconstruction
  VMV 2020, 25th International Symposium on Vision, Modeling, and Visualization (Tübingen, September 28, 2020 - October 1, 2020)
  BibTeX: Download
• Hofmann N., Martschinke J., Engel K., Stamminger M.:
  Neural Denoising for Path Tracing of Medical Volumetric Data
  High-Performance Graphics 2020 (Online, July 13, 2020 - July 16, 2020)
  In: ACM (ed.): Proceedings of the ACM on Computer Graphics and Interactive Techniques 2020
  DOI: 10.1145/3406181
  URL: https://www.lgdv.tf.fau.de/?p=2278
  BibTeX: Download