Vancouver, BC, Canada
August 10 – 12, 2018


Anti Aliasing
Adaptive Temporal Antialiasing
Adam Marrs, Josef Spjut, Holger Gruen, Rahul Sathe, and Morgan McGuire
Correlation-Aware Semi-Analytic Visibility for Antialiased Rendering
Cyril Crassin, Chris Wyman, Morgan McGuire, and Aaron Lefohn
Deferred Adaptive Compute Shading
Ian Mallett and Cem Yuksel
Detecting Aliasing Artifacts in Image Sequences Using Deep Neural Networks
Anjul Patney and Aaron Lefohn
Ray Traversal, Transparency, and GPU Computing
Brook GLES Pi: Democratising Accelerator Programming
Matina Maria Trompouki, and Leonidas Kosmidis
Compressed-Leaf Bounding Volume Hierarchies
Carsten Benthin, Ingo Wald, Sven Woop, and Attila T. Áfra
CPU-Style SIMD Ray Traversal on GPUs
Alexander Lier, Marc Stamminger, and Kai Selgrad
Moment Transparency
Brian Sharpe

Recent Submissions

  • Moment Transparency 

    Sharpe, Brian (ACM, 2018)
    We introduce moment transparency, a new solution to real-time order-independent transparency. It expands upon existing approximate transmittance function techniques by using moments to capture and reconstruct the transmittance ...
  • Compressed-Leaf Bounding Volume Hierarchies 

    Benthin, Carsten; Wald, Ingo; Woop, Sven; Áfra, Attila T. (ACM, 2018)
    We propose and evaluate what we call Compressed-Leaf Bounding Volume Hierarchies (CLBVH), which strike a balance between compressed and non-compressed BVH layouts. Our CLBVH layout introduces dedicated compressed multi-leaf ...
  • CPU-Style SIMD Ray Traversal on GPUs 

    Lier, Alexander; Stamminger, Marc; Selgrad, Kai (ACM, 2018)
    In this paper we describe and evaluate an implementation of CPUstyle SIMD ray traversal on the GPU. We show how spreading moderately wide BVHs (up to a branching factor of eight) across multiple threads in a warp can improve ...
  • Brook GLES Pi: Democratising Accelerator Programming 

    Trompouki, Matina Maria; Kosmidis, Leonidas (ACM, 2018)
    Nowadays computing is heavily-based on accelerators, however, the cost of the hardware equipment prevents equal access to heterogeneous programming. In this work we present Brook GLES Pi, a port of the accelerator programming ...
  • 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 ...
  • Deferred Adaptive Compute Shading 

    Mallett, Ian; Yuksel, Cem (ACM, 2018)
    A primary advantage of deferred shading is eliminating wasted shading operations due to overdraw. We present a new algorithm that we call Deferred Adaptive Compute Shading, for providing further reduction in shading ...
  • 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 ...
  • Adaptive Temporal Antialiasing 

    Marrs, Adam; Spjut, Josef; Gruen, Holger; Sathe, Rahul; McGuire, Morgan (ACM, 2018)
    We introduce a pragmatic algorithm for real-time adaptive supersampling in games. It extends temporal antialiasing of rasterized images with adaptive ray tracing, and conforms to the constraints of a commercial game engine ...