Rendering 2020 - DL-only Track
London, UK | 29 June - 3 July 2020
(Rendering 2020 CGF papers are available here.)
Denoising and Filtering
Temporal Normal Distribution Functions
Real-time Monte Carlo Denoising with the Neural Bilateral Grid
Multi-Scale Appearance Modeling of Granular Materials with Continuously Varying Grain Properties
Temporal Sample Reuse for Next Event Estimation and Path Guiding for Real-Time Path Tracing
Joint SVBRDF Recovery and Synthesis From a Single Image using an Unsupervised Generative Adversarial Network
Joint SVBRDF Recovery and Synthesis From a Single Image using an Unsupervised Generative Adversarial Network (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 ...
(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 ...
(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 ...
(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 ...
(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 ...
(The Eurographics Association, 2020)