Now showing items 1-4 of 4

    • Deep Adaptive Sampling for Low Sample Count Rendering 

      Kuznetsov, Alexandr; Kalantari, Nima Khademi; Ramamoorthi, Ravi (The Eurographics Association and John Wiley & Sons Ltd., 2018)
      Recently, deep learning approaches have proven successful at removing noise from Monte Carlo (MC) rendered images at extremely low sampling rates, e.g., 1-4 samples per pixel (spp). While these methods provide dramatic ...
    • Efficient Caustic Rendering with Lightweight Photon Mapping 

      Grittmann, Pascal; Pérard-Gayot, Arsène; Slusallek, Philipp; Křivánek, Jaroslav (The Eurographics Association and John Wiley & Sons Ltd., 2018)
      Robust and efficient rendering of complex lighting effects, such as caustics, remains a challenging task. While algorithms like vertex connection and merging can render such effects robustly, their significant overhead ...
    • Handling Fluorescence in a Uni-directional Spectral Path Tracer 

      Mojzík, Michal; Fichet, Alban; Wilkie, Alexander (The Eurographics Association and John Wiley & Sons Ltd., 2018)
      We present two separate improvements to the handling of fluorescence effects in modern uni-directional spectral rendering systems. The first is the formulation of a new distance tracking scheme for fluorescent volume ...
    • Stratified Sampling of Projected Spherical Caps 

      Ureña, Carlos; Georgiev, Iliyan (The Eurographics Association and John Wiley & Sons Ltd., 2018)
      We present a method for uniformly sampling points inside the projection of a spherical cap onto a plane through the sphere's center. To achieve this, we devise two novel area-preserving mappings from the unit square to ...