Now showing items 1-4 of 4

    • Bayesian Collaborative Denoising for Monte Carlo Rendering 

      Boughida, Malik; Boubekeur, Tamy (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      The stochastic nature of Monte Carlo rendering algorithms inherently produces noisy images. Essentially, three approaches have been developed to solve this issue: improving the ray-tracing strategies to reduce pixel variance, ...
    • Fast Hardware Construction and Refitting of Quantized Bounding Volume Hierarchies 

      Viitanen, Timo; Koskela, Matias; Jääskeläinen, Pekka; Immonen, Kalle; Takala, Jarmo (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      There is recent interest in GPU architectures designed to accelerate ray tracing, especially on mobile systems with limited memory bandwidth. A promising recent approach is to store and traverse Bounding Volume Hierarchies ...
    • Line Integration for Rendering Heterogeneous Emissive Volumes 

      Simon, Florian; Hanika, Johannes; Zirr, Tobias; Dachsbacher, Carsten (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Emissive media are often challenging to render: in thin regions where only few scattering events occur the emission is poorly sampled, while sampling events for emission can be disadvantageous due to absorption in dense ...
    • Variance and Convergence Analysis of Monte Carlo Line and Segment Sampling 

      Singh, Gurprit; Miller, Bailey; Jarosz, Wojciech (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Recently researchers have started employing Monte Carlo-like line sample estimators in rendering, demonstrating dramatic reductions in variance (visible noise) for effects such as soft shadows, defocus blur, and participating ...