Now showing items 1-4 of 4

    • Hybrid Online Autotuning for Parallel Ray Tracing 

      Herveau, Killian; Pfaffe, Philip; Tillmann, Martin Peter; Tichy, Walter F.; Dachsbacher, Carsten (The Eurographics Association, 2019)
      Acceleration structures are key to high performance parallel ray tracing. Maximizing performance requires configuring the degrees of freedom (e.g., construction parameters) these data structures expose. Whether a parameter ...
    • Minimal Convolutional Neural Networks for Temporal Anti Aliasing 

      Herveau, Killian; Piochowiak, Max; Dachsbacher, Carsten (The Eurographics Association, 2023)
      Existing deep learning methods for performing temporal anti aliasing (TAA) in rendering are either closed source or rely on upsampling networks with a large operation count which are expensive to evaluate. We propose a ...
    • Moment-Based Opacity Optimization 

      Zeidan, Mahmoud; Rapp, Tobias; Peters, Christoph; Dachsbacher, Carsten (The Eurographics Association, 2020)
      Geometric structures such as points, lines, and surfaces play a vital role in scientific visualization. However, these visualizations frequently suffer from visual clutter that hinders the inspection of important features ...
    • Spectral Rendering with the Bounded MESE and sRGB Data 

      Peters, Christoph; Merzbach, Sebastian; Hanika, Johannes; Dachsbacher, Carsten (The Eurographics Association, 2019)
      In a recent journal paper, we introduced a technique to represent reflectance spectra by an arbitrary number of Fourier coefficients. As a special case, we converted tristimulus data to three Fourier coefficients. After ...