29 June - 3 July 2020
Organized by
EUROGRAPHICS THEEUROPEANASSOCIATION
FORCOMPUTERGRAPHICS
Program Co-Chairs
Carsten Dachsbacher, Karlsruhe Institute of Technology (KIT), Germany Matt Pharr, NVIDIA, USA
Conference Co-Chairs
Abhijeet Ghosh, Imperial College London, UK Tobias Ritschel, University College London, UK
Tim Weyrich, University College London, UK
DOI: 10.1111/cgf.14063 https://www.eg.org https://diglib.eg.org
Sponsors
International Programme Committee
Miika Aittala, NVIDIA, Finland Tamy Boubekeur, Adobe, France Rachel Brown, NVIDIA, USA Yue Dong, MSR, China
George Drettakis, INRIA, France Philip Dutré, KU Leuven, Belgium Elmar Eisemann, TU Delft, Netherlands Elena Garces, Technicolor, France Iliyan Georgiev, Solid Angle, UK
Toshiya Hachisuka, University Tokyo, Japan Eric Heitz, Unity, France
Nicolas Holzschuch, INRIA, France Wojciech Jarosz, Dartmouth, USA
Nima Kalantari, Texas A&M University, USA Anton Kaplanyan, Facebook, USA
Jaakko Lehtinen, Aalto University and NVIDIA, Finland Hendrik Lensch, Tübingen University, Germany
Tzu-Mao Li, MIT, USA
Steve Marschner, Cornell, USA
Belen Masia, Universitiy Zaragoza, Spain Diego Nehab, IMPA, Brazil
Jan Novak, NVIDIA, Switzerland Derek Nowrouzezahrai, McGill, Canada
Marta Ortín Obón, University of Zaragoza, Spain Pieter Peers, College of William & Mary, USA Fabio Pellacini, Sapienza University of Rome, Italy Christoph Peters, KIT, Germany
Jeppe Revall Frisvad, Technical University of Denmark, Denmark Holly Rushmeier, Yale University, USA
Pedro Sander, Hong Kong, China Peter-Pike Sloan, Activision, USA
Laszlo Szirmay-Kalos, Budapest University of Technology and Economics, Hungary Karthik Vaidyanathan, Intel, USA
Li-Yi Wei, Univ. of Hong Kong, Hong Kong Andrea Weidlich, Weta Digital, NZ
Michael Wimmer, TU Wien, Austria Hongzhi Wu, Zhejiang University, China Kun Xu, Tsinghua University, China Lingqi Yan, UC Santa Barbara, USA Sung-Eui Yoon, KAIST, South Korea Kun Zhou, Zhejiang University, China
Matthias Zwicker, University of Maryland, USA
Author Index
Allègre, Remi . . . 159
Benes, Bedrich . . . 159
Bieron, James . . . 59
Bousseau, Adrien . . . 91
Deschaintre, Valentin . . . 91
Dhillon, Daljit Singh . . . 75
Diolatzis, Stavros . . . 23
Dischler, Jean-Michel . . . 159
Drettakis, George . . . 23, 91 Galin, Eric . . . 159
Ghosh, Abhijeet . . . 75
Gitlina, Yuliya . . . 75
Gruson, Adrien . . . 23
Guarnera, Giuseppe Claudio . . . 75
Guehl, Pascal . . . 159
Hansen, Jan . . . 75
Hart, David . . . 149
Hasselgren, Jon . . . 1
Heitz, Eric . . . 121
Helminger, Leonhard . . . 173
Hillaire, Sébastien . . . 13
Holzschuch, Nicolas . . . 47
Jakob, Wenzel . . . 23
Jensen, Henrik Wann . . . 35
Lattas, Alexandros . . . 75
Lopes, Ward . . . 149
McGuire, Morgan . . . 149
Müller, Thomas . . . 149
Munkberg, Jacob . . . 1
Naruniec, Jacek . . . 173
Nowrouzezahrai, Derek . . . 23
Öztireli, A. Cengiz . . . 133
Pai, Dinesh . . . 75
Peers, Pieter . . . 59
Pharr, Matt . . . 149
Ramamoorthi, Ravi . . . 35
Schroers, Christopher . . . 173
Shirley, Peter . . . 149
Su, Hao . . . 35
Wang, Sunrise . . . 47
Weber, Romann M. . . 173
Wimmer, Michael . . . 107
Wonka, Peter . . . 107
Xu, Zexiang . . . 35
Zhu, Shilin . . . 35
Zsolnai-Fehér, Károly . . . 107
TABLE OF CONTENTS
Denoising and Filtering
Neural Denoising with Layer Embeddings Jacob Munkberg and Jon Hasselgren
1
Natural Appearance
A Scalable and Production Ready Sky and Atmosphere Rendering Technique Sébastien Hillaire
13
Path Guiding
Practical Product Path Guiding Using Linearly Transformed Cosines
Stavros Diolatzis, Adrien Gruson, Wenzel Jakob, Derek Nowrouzezahrai, and George Dret- takis
23
Global Illumination
Deep Kernel Density Estimation for Photon Mapping
Shilin Zhu, Zexiang Xu, Henrik Wann Jensen, Hao Su, and Ravi Ramamoorthi
35
Adaptive Matrix Completion for Fast Visibility Computations with Many Lights Rendering Sunrise Wang and Nicolas Holzschuch
47
BxDFs
An Adaptive BRDF Fitting Metric James Bieron and Pieter Peers
59
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
75
Materials
Guided Fine-Tuning for Large-Scale Material Transfer Valentin Deschaintre, George Drettakis, and Adrien Bousseau
91
Photorealistic Material Editing Through Direct Image Manipulation Károly Zsolnai-Fehér, Peter Wonka, and Michael Wimmer
107
Sampling
Can’t Invert the CDF? The Triangle-Cut Parameterization of the Region under the Curve Eric Heitz
121
A Comprehensive Theory and Variational Framework for Anti-aliasing Sampling Patterns A. Cengiz Öztireli
133
Practical Product Sampling by Fitting and Composing Warps
David Hart, Matt Pharr, Thomas Müller, Ward Lopes, Morgan McGuire, and Peter Shirley
149
Images and Textures
Semi-Procedural Textures Using Point Process Texture Basis Functions
Pascal Guehl, Remi Allègre, Jean-Michel Dischler, Bedrich Benes, and Eric Galin
159
High-Resolution Neural Face Swapping for Visual Effects
Jacek Naruniec, Leonhard Helminger, Christopher Schroers, Romann M. Weber
173
Keynote
Generative Models for Image Synthesis
Jan Kautz
Short Biography
Jan Kautz is VP of Learning and Perception Research at NVIDIA. Jan and his team pursue fundamental research in the areas of computer vision and deep learning, including visual perception, geometric vision, generative models, and efficient deep learning. His and his team’s work has been recognized with various awards and has been regularly featured in the media. Before joining NVIDIA in 2013, Jan was a tenured faculty member at University College London. He holds a BSc in Computer Science from the University of Erlangen-Nürnberg (1999), an MMath from the University of Waterloo (1999), received his PhD from the Max-Planck-Institut für Informatik (2003), and worked as a post-doctoral researcher at the Massachusetts Institute of Technology (2003-2006).
