This image shows the "Paradigm" scene from the "Photorealistic Material Editing Through Direct Image Manipulation" paper. Winning entry by Károly Zsolnai-Fehér, Peter Wonka, and Michael Wimmer.

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  • 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)
  • Canis: A High-Level Language for Data-Driven Chart Animations 

    Ge, Tong; Zhao, Yue; Lee, Bongshin; Ren, Donghao; Chen, Baoquan; Wang, Yunhai (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    In this paper, we introduce Canis, a high-level domain-specific language that enables declarative specifications of data-driven chart animations. By leveraging data-enriched SVG charts, its grammar of animations can be ...
  • Infomages: Embedding Data into Thematic Images 

    Coelho, Darius; Mueller, Klaus (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Recent studies have indicated that visually embellished charts such as infographics have the ability to engage viewers and positively affect memorability. Fueled by these findings, researchers have proposed a variety of ...
  • Sublinear Time Force Computation for Big Complex Network Visualization 

    Meidiana, Amyra; Hong, Seok-Hee; Torkel, Marnijati; Cai, Shijun; Eades, Peter (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    In this paper, we present a new framework for sublinear time force computation for visualization of big complex graphs. Our algorithm is based on the sampling of vertices for computing repulsion forces and edge sparsification ...
  • v-plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions 

    Blumenschein, Michael; Debbeler, Luka J.; Lages, Nadine C.; Renner, Britta; Keim, Daniel A.; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Comparing data distributions is a core focus in descriptive statistics, and part of most data analysis processes across disciplines. In particular, comparing distributions entails numerous tasks, ranging from identifying ...
  • Sunspot Plots: Model-based Structure Enhancement for Dense Scatter Plots 

    Trautner, Thomas; Bolte, Fabian; Stoppel, Sergej; Bruckner, Stefan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Scatter plots are a powerful and well-established technique for visualizing the relationships between two variables as a collection of discrete points. However, especially when dealing with large and dense data, scatter ...

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