Now showing items 1-3 of 3

    • Deep-learning the Latent Space of Light Transport 

      Hermosilla, Pedro; Maisch, Sebastian; Ritschel, Tobias; Ropinski, Timo (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We suggest a method to directly deep-learn light transport, i. e., the mapping from a 3D geometry-illumination-material configuration to a shaded 2D image. While many previous learning methods have employed 2D convolutional ...
    • Improving Perception of Molecular Surface Visualizations by Incorporating Translucency Effects 

      Hermosilla, Pedro; Maisch, Sebastian; Vázquez, Pere-Pau; Ropinski, Timo (The Eurographics Association, 2018)
      Molecular surfaces are a commonly used representation in the analysis of molecular structures as they provide a compact description of the space occupied by a molecule and its accessibility. However, due to the high ...
    • Interactive Subsurface Scattering for Materials With High Scattering Distances 

      Maisch, Sebastian; Ropinski, Timo (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      Existing algorithms for rendering subsurface scattering in real time cannot deal well with scattering over longer distances. Kernels for image space algorithms become very large in these circumstances and separation does ...