Now showing items 1-2 of 2

    • Correlation-Aware Semi-Analytic Visibility for Antialiased Rendering 

      Crassin, Cyril; Wyman, Chris; McGuire, Morgan; Lefohn, Aaron (ACM, 2018)
      Geometric aliasing is a persistent challenge for real-time rendering. Hardware multisampling remains limited to 8×, analytic coverage fails to capture correlated visibility samples, and spatial and temporal postfiltering ...
    • Detecting Aliasing Artifacts in Image Sequences Using Deep Neural Networks 

      Patney, Anjul; Lefohn, Aaron (ACM, 2018)
      In this short paper we present a machine learning approach to detect visual artifacts in rendered image sequences. Specifically, we train a deep neural network using example aliased and antialiased image sequences exported ...