London, UK | 29 June - 3 July 2020


(Rendering 2020 CGF papers are available here.)
Denoising and Filtering
Temporal Normal Distribution Functions
Lorenzo Tessari, Johannes Hanika, Carsten Dachsbacher, and Marc Droske
Real-time Monte Carlo Denoising with the Neural Bilateral Grid
Xiaoxu Meng, Quan Zheng, Amitabh Varshney, Gurprit Singh, and Matthias Zwicker
Natural Appearance
Multi-Scale Appearance Modeling of Granular Materials with Continuously Varying Grain Properties
Cheng Zhang and Shuang Zhao
Path Guiding
Temporal Sample Reuse for Next Event Estimation and Path Guiding for Real-Time Path Tracing
Addis Dittebrandt, Johannes Hanika, and Carsten Dachsbacher
BxDFs
Joint SVBRDF Recovery and Synthesis From a Single Image using an Unsupervised Generative Adversarial Network
Yezi Zhao, Beibei Wang, Yanning Xu, Zheng Zeng, Lu Wang, and Nicolas Holzschuch

Recent Submissions

  • Joint SVBRDF Recovery and Synthesis From a Single Image using an Unsupervised Generative Adversarial Network 

    Zhao, Yezi; Wang, Beibei; Xu, Yanning; Zeng, Zheng; Wang, Lu; Holzschuch, Nicolas (The Eurographics Association, 2020)
    We want to recreate spatially-varying bi-directional reflectance distribution functions (SVBRDFs) from a single image. Pro- ducing these SVBRDFs from single images will allow designers to incorporate many new materials in ...
  • 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 ...
  • Multi-Scale Appearance Modeling of Granular Materials with Continuously Varying Grain Properties 

    Zhang, Cheng; Zhao, Shuang (The Eurographics Association, 2020)
    Many real-world materials such as sand, snow, salt, and rice are comprised of large collections of grains. Previously, multiscale rendering of granular materials requires precomputing light transport per grain and has ...
  • 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 ...
  • 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 ...
  • Rendering 2020 DL Track: Frontmatter 

    Dachsbacher, Carsten; Pharr, Matt (The Eurographics Association, 2020)