Now showing items 1-9 of 9

    • Frontmatter: VMV 2018: Vision, Modeling, and Visualization 

      Beck, Fabian; Dachsbacher, Carsten; Sadlo, Filip (The Eurographics Association, 2018)
    • 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 ...
    • Importance Sampling of Glittering BSDFs based on Finite Mixture Distributions 

      Chermain, Xavier; Sauvage, Basile; Dischler, Jean-Michel; Dachsbacher, Carsten (The Eurographics Association, 2021)
      We propose an importance sampling scheme for the procedural glittering BSDF of Chermain et al. [CSDD20]. Glittering BSDFs have multi-lobe visible normal distribution functions (VNDFs) which are difficult to sample. They ...
    • 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 ...
    • Path Guiding with Vertex Triplet Distributions 

      Schüßler, Vincent; Hanika, Johannes; Jung, Alisa; Dachsbacher, Carsten (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Good importance sampling strategies are decisive for the quality and robustness of photorealistic image synthesis with Monte Carlo integration. Path guiding approaches use transport paths sampled by an existing base sampler ...
    • Portal-Based Path Perturbation for Metropolis Light Transport 

      Otsu, Hisanari; Hanika, Johannes; Dachsbacher, Carsten (The Eurographics Association, 2020)
      Light transport simulation in scenes with difficult visibility still remains a challenging problem. Markov chain Monte Carlo (MCMC) rendering is often employed for such configurations. It generates a sequence of correlated ...
    • Re‐Weighting Firefly Samples for Improved Finite‐Sample Monte Carlo Estimates 

      Zirr, Tobias; Hanika, Johannes; Dachsbacher, Carsten (© 2018 The Eurographics Association and John Wiley & Sons Ltd., 2018)
      Samples with high contribution but low probability density, often called fireflies, occur in all practical Monte Carlo estimators and are part of computing unbiased estimates. For finite‐sample estimates, however, they can ...
    • 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 ...
    • Wide Gamut Spectral Upsampling with Fluorescence 

      Jung, Alisa; Wilkie, Alexander; Hanika, Johannes; Jakob, Wenzel; Dachsbacher, Carsten (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Physically based spectral rendering has become increasingly important in recent years. However, asset textures in such systems are usually still drawn or acquired as RGB tristimulus values. While a number of RGB to spectrum ...