London, UK | 29 June - 3 July 2020


(Rendering - DL only track and Industry track are available here.)
Denoising and Filtering
Neural Denoising with Layer Embeddings
Jacob Munkberg and Jon Hasselgren
Natural Appearance
A Scalable and Production Ready Sky and Atmosphere Rendering Technique
Sébastien Hillaire
Path Guiding
Practical Product Path Guiding Using Linearly Transformed Cosines
Stavros Diolatzis, Adrien Gruson, Wenzel Jakob, Derek Nowrouzezahrai, and George Drettakis
Global Illumination
Deep Kernel Density Estimation for Photon Mapping
Shilin Zhu, Zexiang Xu, Henrik Wann Jensen, Hao Su, and Ravi Ramamoorthi
Adaptive Matrix Completion for Fast Visibility Computations with Many Lights Rendering
Sunrise Wang and Nicolas Holzschuch
BxDFs
An Adaptive BRDF Fitting Metric
James Bieron and Pieter Peers
Practical Measurement and Reconstruction of Spectral Skin Reflectance
Yuliya Gitlina, Giuseppe Claudio Guarnera, Daljit Singh Dhillon, Jan Hansen, Alexandros Lattas, Dinesh Pai, and Abhijeet Ghosh
Materials
Guided Fine-Tuning for Large-Scale Material Transfer
Valentin Deschaintre, George Drettakis, and Adrien Bousseau
Photorealistic Material Editing Through Direct Image Manipulation
Károly Zsolnai-Fehér, Peter Wonka, and Michael Wimmer
Sampling
Can't Invert the CDF? The Triangle-Cut Parameterization of the Region under the Curve
Eric Heitz
A Comprehensive Theory and Variational Framework for Anti-aliasing Sampling Patterns
A. Cengiz Öztireli
Practical Product Sampling by Fitting and Composing Warps
David Hart, Matt Pharr, Thomas Müller, Ward Lopes, Morgan McGuire, and Peter Shirley
Images and Textures
Semi-Procedural Textures Using Point Process Texture Basis Functions
Pascal Guehl, Remi Allègre, Jean-Michel Dischler, Bedrich Benes, and Eric Galin
High-Resolution Neural Face Swapping for Visual Effects
Jacek Naruniec, Leonhard Helminger, Christopher Schroers, Romann M. Weber

Recent Submissions

  • High-Resolution Neural Face Swapping for Visual Effects 

    Naruniec, Jacek; Helminger, Leonhard; Schroers, Christopher; Weber, Romann M. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    In this paper, we propose an algorithm for fully automatic neural face swapping in images and videos. To the best of our knowledge, this is the first method capable of rendering photo-realistic and temporally coherent ...
  • Semi-Procedural Textures Using Point Process Texture Basis Functions 

    Guehl, Pascal; Allègre, Remi; Dischler, Jean-Michel; Benes, Bedrich; Galin, Eric (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We introduce a novel semi-procedural approach that avoids drawbacks of procedural textures and leverages advantages of datadriven texture synthesis. We split synthesis in two parts: 1) structure synthesis, based on a ...
  • A Comprehensive Theory and Variational Framework for Anti-aliasing Sampling Patterns 

    Öztireli, A. Cengiz (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    In this paper, we provide a comprehensive theory of anti-aliasing sampling patterns that explains and revises known results, and introduce a variational optimization framework to generate point patterns with any desired ...
  • Practical Product Sampling by Fitting and Composing Warps 

    Hart, David; Pharr, Matt; Müller, Thomas; Lopes, Ward; McGuire, Morgan; Shirley, Peter (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We introduce a Monte Carlo importance sampling method for integrands composed of products and show its application to rendering where direct sampling of the product is often difficult. Our method is based on warp functions ...
  • Photorealistic Material Editing Through Direct Image Manipulation 

    Zsolnai-Fehér, Károly; Wonka, Peter; Wimmer, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Creating photorealistic materials for light transport algorithms requires carefully fine-tuning a set of material properties to achieve a desired artistic effect. This is typically a lengthy process that involves a trained ...
  • Can't Invert the CDF? The Triangle-Cut Parameterization of the Region under the Curve 

    Heitz, Eric (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present an exact, analytic and deterministic method for sampling densities whose Cumulative Distribution Functions (CDFs) cannot be inverted analytically. Indeed, the inverse-CDF method is often considered the way to ...
  • Guided Fine-Tuning for Large-Scale Material Transfer 

    Deschaintre, Valentin; Drettakis, George; Bousseau, Adrien (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present a method to transfer the appearance of one or a few exemplar SVBRDFs to a target image representing similar materials. Our solution is extremely simple: we fine-tune a deep appearance-capture network on the ...
  • Practical Measurement and Reconstruction of Spectral Skin Reflectance 

    Gitlina, Yuliya; Guarnera, Giuseppe Claudio; Dhillon, Daljit Singh; Hansen, Jan; Lattas, Alexandros; Pai, Dinesh; Ghosh, Abhijeet (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present two practical methods for measurement of spectral skin reflectance suited for live subjects, and drive a spectral BSSRDF model with appropriate complexity to match skin appearance in photographs, including human ...
  • An Adaptive BRDF Fitting Metric 

    Bieron, James; Peers, Pieter (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We propose a novel image-driven fitting strategy for isotropic BRDFs. Whereas existing BRDF fitting methods minimize a cost function directly on the error between the fitted analytical BRDF and the measured isotropic BRDF ...
  • Adaptive Matrix Completion for Fast Visibility Computations with Many Lights Rendering 

    Wang, Sunrise; Holzschuch, Nicolas (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Several fast global illumination algorithms rely on the Virtual Point Lights framework. This framework separates illumination into two steps: first, propagate radiance in the scene and store it in virtual lights, then ...
  • Deep Kernel Density Estimation for Photon Mapping 

    Zhu, Shilin; Xu, Zexiang; Jensen, Henrik Wann; Su, Hao; Ramamoorthi, Ravi (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Recently, deep learning-based denoising approaches have led to dramatic improvements in low sample-count Monte Carlo rendering. These approaches are aimed at path tracing, which is not ideal for simulating challenging light ...
  • Practical Product Path Guiding Using Linearly Transformed Cosines 

    Diolatzis, Stavros; Gruson, Adrien; Jakob, Wenzel; Nowrouzezahrai, Derek; Drettakis, George (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Path tracing is now the standard method used to generate realistic imagery in many domains, e.g., film, special effects, architecture etc. Path guiding has recently emerged as a powerful strategy to counter the notoriously ...
  • A Scalable and Production Ready Sky and Atmosphere Rendering Technique 

    Hillaire, Sébastien (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present a physically based method to render the atmosphere of a planet from ground to space views. Our method is cheap to compute and, as compared to previous successful methods, does not require any high dimensional ...
  • Neural Denoising with Layer Embeddings 

    Munkberg, Jacob; Hasselgren, Jon (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We propose a novel approach for denoising Monte Carlo path traced images, which uses data from individual samples rather than relying on pixel aggregates. Samples are partitioned into layers, which are filtered separately, ...
  • Rendering 2020 CGF 39-4: Frontmatter 

    Dachsbacher, Carsten; Pharr, Matt (The Eurographics Association and John Wiley & Sons Ltd., 2020)