Now showing items 3-6 of 6

    • Real-time Monte Carlo Denoising with the Neural Bilateral Grid 

      Meng, Xiaoxu; Zheng, Quan; Varshney, Amitabh; Singh, Gurprit; Zwicker, Matthias (The Eurographics Association, 2020)
      Real-time denoising for Monte Carlo rendering remains a critical challenge with regard to the demanding requirements of both high fidelity and low computation time. In this paper, we propose a novel and practical deep ...
    • Rendering 2020 DL Track: Frontmatter 

      Dachsbacher, Carsten; Pharr, Matt (The Eurographics Association, 2020)
    • Temporal Normal Distribution Functions 

      Tessari, Lorenzo; Hanika, Johannes; Dachsbacher, Carsten; Droske, Marc (The Eurographics Association, 2020)
      Specular aliasing can make seemingly simple scenes notoriously hard to render efficiently: small geometric features with high curvature and near specular reflectance result in tiny lighting features which are difficult to ...
    • Temporal Sample Reuse for Next Event Estimation and Path Guiding for Real-Time Path Tracing 

      Dittebrandt, Addis; Hanika, Johannes; Dachsbacher, Carsten (The Eurographics Association, 2020)
      Good importance sampling is crucial for real-time path tracing where only low sample budgets are possible. We present two efficient sampling techniques tailored for massively-parallel GPU path tracing which improve next ...