Press keyboard shortcut Command + Control + Esc to stop the recording.

Taken from here

Confusion matrix is an excellent method to illustrate the results of multi-class classification. It takes a single function call in Matplotlib to generate a colorful confusion matrix plot. However, you have to first have your results in the form of a confusion matrix. In our case, we will use scikit-learn:

from sklearn.metrics import confusion_matrix
cf_matrix = confusion_matrix(y_true=y_truth, y_pred=y_pred)

Where y_truth are the ground truth data, and y_pred are values predicted by your machine (or deep) learning framework. To visualize, we then:

import matplotlib.pyplot as plt
# Assume m is 2D Numpy array with these values
# [[1.0 0   0   0  ]
#  [0.1 0.7 0.2 0  ]
#  [0   0   1.0 0  ]
#  [0   0   0   1.0]]
plt.matshow(cf_matrix)
plt.colorbar()
plt.show()

Taken from here. Alternatively, we can use seaborn:

import seaborn as sns
ax = sns.heatmap(cf_matrix, annot=True, cmap='Blues')
ax.set_title('Seaborn Confusion Matrix with labels\n\n');
ax.set_xlabel('\nPredicted Values')
ax.set_ylabel('Actual Values ');
## Ticket labels - List must be in alphabetical order
ax.xaxis.set_ticklabels(labels)
ax.yaxis.set_ticklabels(labels)
plt.xticks(rotation=45)
plt.yticks(rotation=45)
## Display the visualization of the Confusion Matrix.
plt.show()

Where labels is a list of strings which are the class names that correspond to the integers in the previous figure. That’s all for now.

Assume you want to recursively convert all your images in a folder and its subfolders to jpeg files to save space. How can this be done? Well, use the following:

find . -name "*.png" -print0 | xargs -0 mogrify -format jpg -quality 40

Where the quality flag value reduces the image size while maintaining its quality as much as possible. For morgify to work you may need to install imagemagick. Tested on MacOSX.

Taken from:
https://superuser.com/questions/71028/batch-converting-png-to-jpg-in-linux

Often I have projects which require submission of seperate PDF pages. Instead of manually editing and create such files, there is a nice nifty python script for this (works only on apple):

python2 splitPDF.py the_pdf_file.pdf 1 11 15 17 19

where 1, 11, 15, 17, 19 are the page numbers where we split the PDF. Note that the script works with python2 but can be easily modified for python3 without requiring and external packages. Taken from:
1) http://www.cs.cmu.edu/~benhdj/Mac/unix.html#splitPDF
2) https://superuser.com/questions/827462/is-there-a-command-line-method-to-split-a-multi-page-pdf-file-into-single-pages

I like to listen to youtube lectures. Regerttably, current online tools I use (such as this one) download them as an mp4 file. Luckily, there is an easy solution to convert all such files. To do so:

1. Place all you files in a folder
2. Create a new folder, e.g. ‘newfiles’
3. Open your command line console, and ‘cd’ into folder at step (1). Then, run the following commands:
   

for f in *.mp4; do ffmpeg -i "$f" -filter:a "volume=1.45" -codec:v copy -codec:a libmp3lame -q:a 2 newfiles/"${f%.m4a}.mp3"; done

Note tha I am increasing the volume by 145%, since most of the times youtube lectures are a bit quiet. So this works out of the box, enjoy!

ffmpeg -i in.mp4 -filter:v "crop=out_w:out_h:x:y" out.mp4

Where the options are as follows:

• out_w is the width of the output rectangle
• out_h is the height of the output rectangle
• x and y specify the top left corner of the output rectangle

Taken from here.

Say you have a bunch of images you want to view side by side, on your website. Well, it is easy to do with a combination of little CSS and html programming:

https://pastebin.com/ZWgcr4m9

And the result is over here:

SIGGRAPH 2020 TECHNICAL PAPERS

Following is a list of accepted content and contributors for the SIGGRAPH 2020 Technical Papers program. Complete information will be posted soon.

ANIMATION/SIMULATION

A Level-Set Method for Magnetic Substance Simulation
Xingyu Ni, CFCS, Peking University/AICFVE, Beijing Film Academy; Bo Zhu, Dartmouth College; Bin Wang, AICFVE, Beijing Film Academy; Baoquan Chen, CFCS, Peking University/AICFVE, Beijing Film Academy

A Massively Parallel and Scalable Multi-GPU Material Point Method
Xinlei Wang, Zhejiang University/University of Pennsylvania; Yuxing Qiu, University of California, Los Angeles/University of Pennsylvania; Stuart R. Slattery, Oak Ridge National Laboratory; Yu Fang, University of Pennsylvania; Minchen Li, University of Pennsylvania; Song-Chun Zhu, University of California, Los Angeles; Yixin Zhu, University of California, Los Angeles; Min Tang, Zhejiang University; Dinesh Manocha, University of Maryland; Chenfanfu Jiang, University of Pennsylvania

A Model for Soap Film Dynamics With Evolving Thickness
Sadashige Ishida, IST Austria; Peter Synak, IST Austria; Fumiya Narita; Toshiya Hachisuka, The University of Tokyo; Chris Wojtan, IST Austria

A Practical Octree Liquid Simulator With Adaptive Surface Resolution
Ryoichi Ando, National Institute of Informatics; Christopher Batty, University of Waterloo

A Scalable Approach to Control Diverse Behaviors for Physically Simulated Characters
Jungdam Won, Facebook AI Research; Deepa Gopinath, Facebook AI Research; Jessica Hodgins, Facebook AI Research

A System for Efficient 3D Printed Stop-Motion Face Animation
Rinat Abdrashitov, University of Toronto; Alec Jacobson, University of Toronto; Karan Singh, University of Toronto

Accurate Face Rig Approximation With Deep Differential Subspace Reconstruction
Steven Song, Blue Sky Studios; Weiqi Shi, Yale University; Michael Reed, Blue Sky Studios

Adaptive Merging for Rigid Body Simulation
Eulalie Coevoet, McGill University; Otman Benchekroun, McGill University; Paul G. Kry, McGill University

An Implicit Compressible SPH Solver for Snow Simulation
Christoph Gissler, University of Freiburg/FIFTY2 Technology GmbH; Andreas Henne, FIFTY2 Technology GmbH; Stefan Band, University of Freiburg; Andreas Peer, FIFTY2 Technology GmbH; Matthias Teschner, University of Freiburg

AnisoMPM: Animating Anisotropic Damage Mechanics
Joshuah Wolper, University of Pennsylvania; Yunuo Chen, University of Pennsylvania/University of Science and Technology of China; Minchen Li, University of Pennsylvania; Yu Fang, University of Pennsylvania; Ziyin Qu, University of Pennsylvania; Jiecong Lu, University of Pennsylvnia; Meggie Cheng, University of Pennsylvania; Chenfanfu Jiang, University of Pennsylvania

Capturing Subjective First-Person View Shots With Drones for Automated Cinematography
Amirsaman Ashtari, Korea Advanced Institute of Science and Technology (KAIST), ETH Zürich; Stefan Stevšić, ETH Zürich; Tobias Nägeli, ETH Zürich, Tinamu Labs; Jean-Charles Bazin, Korea Advanced Institute of Science and Technology (KAIST); Otmar Hilliges, ETH Zürich

CARL: Controllable Agent With Reinforcement Learning for Quadruped Locomotion
Ying-Sheng Luo, Inventec Corporation; Jonathan Hans Soeseno, Inventec Corporation; Trista Pei-Chun Chen, Inventec Corporation; Wei-Chao Chen, Skywatch/Inventec Corporation

Catch & Carry: Reusable Neural Controllers for Vision-guided Whole-Body Tasks
Josh Merel, DeepMind; Saran Tunyasuvunakool, DeepMind; Arun Ahuja, DeepMind; Yuval Tassa, DeepMind; Leonard Hasenclever, DeepMind; Vu Pham, Department of Secret Services, Ministry of National Security, Viet Nam; Tom Erez, DeepMind; Greg Wayne, DeepMind; Nicolas Heess, DeepMind

Character Controllers Using Motion VAEs
Hung Yu Ling, University of British Columbia; Fabio Zinno, Electronic Arts Vancouver; George Cheng, Electronic Arts Vancouver; Michiel van de Panne, University of British Columbia

Chemomechanical Simulation of Soap Film Flow on Spherical Bubbles
Weizhen Huang, University of Bonn; Julian Iseringhausen, University of Bonn; Tom Kneiphof, University of Bonn; Ziyin Qu, University of Pennsylvania; Chenfanfu Jiang, University of Pennsylvania; Matthias Hullin, University of Bonn

Codimensional Surface Tension Flow Using Moving-Least-Squares Particles
Hui Wang, Shanghai Jiao Tong University; Yongxu Jin, Stanford University; Anqi Luo, Dartmouth College; Xubo Yang, Shanghai Jiao Tong University; Bo Zhu, Dartmouth College

Constraint Bubbles and Affine Regions: Reduced Fluid Models for Efficient Immersed Bubbles and Flexible Spatial Coarsening
Ryan Goldade, University of Waterloo; Mridul Aanjaneya, Rutgers University; Christopher Batty, University of Waterloo

Directional Sources and Listeners in Interactive Sound Propagation Using Reciprocal Wave Field Coding
Chakravarty R. Alla Chaitanya, Microsoft Research/McGill University; Nikunj Raghuvanshi, Microsoft Research; Keith W. Godin, Microsoft Research; Zechen Zhang, Microsoft Research/Cornell University; Derek Nowrouzezahrai, McGill University; John M. Snyder, Microsoft Research

Enlighten Me: Importance of Brightness and Shadow for Character Emotion and Appeal
Pisut Wisessing, Trinity College Dublin; Katja Zibrek, Trinity College Dublin; Douglas W. Cunningham, BTU Cottbus-Senftenberg; John Dingliana, Trinity College Dublin; Rachel McDonnell, Trinity College Dublin

Example-Driven Virtual Cinematography by Learning Camera Behaviors
Hongda Jiang, CFCS, Peking University/AICFVE, Beijing Film Academy; Bin Wang, AICFVE, Beijing Film Academy; Xi Wang, Univ Rennes, Inria, CNRS, IRISA/AICFVE, Beijing Film Academy; Marc Christie, Univ Rennes, Inria, CNRS, IRISA/AICFVE, Beijing Film Academy; Baoquan Chen, Peking University/AICFVE, Beijing Film Academy

Fast and Flexible Multilegged Locomotion Using Learned Centroidal Dynamics
Taesoo Kwon, Hanyang University; Yoonsang Lee, Hanyang University; Michiel van de Panne, University of British Columbia

Fast and Scalable Turbulent Flow Simulation With Two-way Coupling
Wei Li, ShanghaiTech University; Yixin Chen, ShanghaiTech University; Mathieu Desbrun, California Institute of Technology/ShanghaiTech University; Changxi Zheng, Columbia University; Xiaopei Liu, ShanghaiTech University

Hierarchical Optimization Time Integration for CFL-Rate MPM Stepping
Xinlei Wang, Zhejiang University/University of Pennsylvania; Minchen Li, University of Pennsylvania/Adobe Research; Yu Fang, University of Pennsylvania; Xinxin Zhang, Tencent; Ming Gao, University of Pennsylvania/Tencent; Min Tang, Zhejiang University; Danny M. Kaufman, Adobe Research; Chenfanfu Jian, University of Pennsylvania

Homogenized Yarn-Level Cloth
Georg Sperl, IST Austria; Rahul Narain, Indian Institute of Technology Delhi; Chris Wojtan, IST Austria

Incremental Potential Contact: Intersection- and Inversion-Free, Large-Deformation Dynamics
Minchen Li, University of Pennsylvania/Adobe Research; Zachary Ferguson, New York University; Teseo Schneider, New York University; Timothy Langlois, Adobe Research; Denis Zorin, New York University; Daniele Panozzo, New York University; Chenfanfu Jiang, University of Pennsylvania; Danny M. Kaufman, Adobe Research

Informative Scene Decomposition for Crowd Analysis, Comparison, and Simulation Guidance
Feixiang He, University of Leeds School of Computing; Yuanhang Xiang, Xi’an Jiaotong, University School of Computer Science and Technology; Xi Zhao, Xi’an Jiaotong University School of Computer Science and Technology; He Wang, University of Leeds School of Computing

IQ-MPM: An Interface Quadrature Material Point Method for Non-sticky Strongly Two-Way Coupled Nonlinear Solids and Fluids
Yu Fang, University of Pennsylvania; Ziyin Qu, University of Pennsylvania; Minchen Li, University of Pennsylvania; Xinxin Zhang, Tencent; Yixin Zhu, University of California, Los Angeles; Mridul Aanjaney, Rutgers University; Chenfanfu Jiang, University of Pennsylvania

Lagrangian Neural Style Transfer for Fluids
Byungsoo Kim, ETH Zurich; Vinicius C. Azevedo, ETH Zurich; Markus Gross, ETH Zurich; Barbara Solenthaler, ETH Zurich

Learned Motion Matching
Daniel Holden, Ubisoft Divertissements; Oussama Kanoun, Ubisoft Divertissements; Maksym Perepichka, Concordia University/Ubisoft Divertissements; Tiberiu Popa, Concordia University

Local Motion Phases for Learning Multi-Contact Character Movements
Sebastian Starke, University of Edinburgh/Electronic Arts; Yiwei Zhao, Electronic Arts; Taku Komura, University of Edinburgh; Kazi Zaman, Electronic Arts

Medial Elastics: Efficient and Collision-ready Deformation via Medial Axis Transform
Lei Lan, Xiamen University/University of New Mexico; Ran Luo, University of New Mexico; Marco Fratarcangeli, Chalmers University of Technology; Weiwei Xu, Zhejiang University/State Key Lab of CAD&CG; Huamin Wang, Ohio State University; Xiaohu Guo, University of Texas at Dallas; Junfeng Yao, Xiamen University; Yin Yang, Clemson University

Model Predictive Control With a Visuomotor System for Physics-based Character Animation
Haegwang Eom, Weta Digital Ltd; Daseong Han, Handong Global University; Joseph S. Shin, Handong Global University/KAIST; Junyong Noh, KAIST Visual Media Lab

N-Dimensional Rigid Body Dynamics
Marc ten Bosch, MTB Design Works, Inc.

Phong Deformation: A Better $C^0$ Interpolant for Embedded Deformation
Doug James, Stanford University/Pixar Animation Studios

Projective Dynamics With Dry Frictional Contact
Mickaël Ly, National Institute for Research in Computer Science and Automation (INRIA); Jean Jouve, Ecole Normale Supérieure de Rennes/National Institute for Research in Computer Science and Automation (INRIA); Laurence Boissieux, National Institute for Research in Computer Science and Automation (INRIA); Florence Bertails-Descoubes, National Institute for Research in Computer Science and Automation (INRIA)

RigNet: Neural Rigging for Articulated Characters
Zhan Xu, University of Massachusetts Amherst; Yang Zhou, University of Massachusetts Amherst; Evangelos Kalogerakis, University of Massachusetts Amherst; Chris Landreth, University of Toronto; Karan Singh, University of Toronto

Robust Eulerian-on-Lagrangian Rods
Rosa M. Sánchez-Banderas, Universidad Rey Juan Carlos; Alejandro Rodríguez, Seddi Labs; Héctor Barreiro, Universidad Rey Juan Carlos; Miguel A. Otaduy, Universidad Rey Juan Carlos

Robust Motion In-Betweening
Felix Harvey, Mila/Ubisoft Montreal; Mike Yurick, Ubisoft Montreal; Christopher Pal, Mila/Element AI; Derek Nowrouzezahrai, McGill University

Simple and Scalable Frictional Contacts for Thin Nodal Objects
Gilles Daviet, Weta Digital

Skeleton-Aware Networks for Deep Motion Retargeting
Kfir Aberman, AICFVE Beijing Film Academy/Tel-Aviv University; Peizhuo Li, CFCS, Peking University/AICFVE Beijing Film Academy; Dani Lischinski, The Hebrew University of Jerusalem/AICFVE Beijing Film Academy; Olga Sorkine-Hornung, ETH Zurich/AICFVE Beijing Film Academy; Daniel Cohen-Or, Tel-Aviv University/AICFVE Beijing Film Academy; Baoquan Chen, CFCS, Peking University/AICFVE Beijing Film Academy

The Leopard Never Changes Its Spots: Realistic Pigmentation Pattern Formation by Coupling Tissue Growth With Reaction-diffusion
Marcelo de Gomensoro Malheiros, Univates; Henrique Fensterseifer, UFRGS; Marcelo Walter, UFRGS

Unpaired Motion Style Transfer From Video to Animation
Kfir Aberman, AICFVE, Beijing Film Academy/Tel Aviv University; Yijia Weng, Peking University/AICFVE, Beijing Film Academy; Dani Lischinski, The Hebrew University of Jerusalem/AICFVE, Beijing Film Academy; Daniel Cohen-Or, Tel-Aviv University/AICFVE, Beijing Film Academy; Baoquan Chen, Peking University/AICFVE, Beijing Film Academy

Wave Curves: Simulating Lagrangian Water Waves on Dynamically Deforming Surfaces
Tomas Skrivan, IST Austria; Andreas Soderstrom; John Johansson, Weta Digital; Christoph Sprenger, Weta Digital; Ken Museth, Weta Digital; Chris Wojtan, IST Austria

HARDWARE

High Resolution Etendue Expansion for Holographic Displays
Grace Kuo, University of California, Berkeley/Facebook Reality Labs; Laura Waller, University of California, Berkeley; Ren Ng, University of California, Berkeley; Andrew Maimone, Facebook Reality Labs

Holographic Optics for Thin and Lightweight Virtual Reality
Andrew Maimone, Facebook Reality Labs; Junren Wang, Facebook Reality Labs

Towards Occlusion-Aware Multifocal Displays
Jen-Hao Rick Chang, Carnegie Mellon University/Apple Inc.; Anat Levin, Technion; B. V. K. Vijaya, Kumar, Carnegie Mellon University; Aswin C. Sankaranarayanan, Carnegie Mellon University

IMAGING/VIDEO

Attribute2Font: Creating Fonts You Want From Attributes
Yizhi Wang, Wangxuan Institute of Computer Technology, Peking University; Yue Gao, Wangxuan Institute of Computer Technology, Peking University; Zhouhui Lian, Wangxuan Institute of Computer Technology, Peking University

Computational Image Marking on Metals via Laser Induced Heating
Sebastian Cucerca, Max Planck Institute for Informatics; Piotr Didyk, Università della Svizzera Italiana; Hans-Peter Seidel, Max Planck Institute for Informatics; Vahid Babaei, Max Planck Institute for Informatics

Consistent Video Depth Estimation
Xuan Luo, University of Washington; Jia-Bin Huang, Virginia Tech/Facebook; Richard Szeliski, Facebook; Kevin Matzen, Facebook; Johannes Kopf, Facebook

DeepFaceDrawing: Deep Generation of Face Images From Sketches
Shu-Yu Chen, Institute of Computing Technology, Chinese Academy of Sciences; Wanchao Su, City University of Hong Kong; Lin Gao, Institute of Computing Technology, Chinese Academy of Sciences; Shihong Xia, Institute of Computing Technology, Chinese Academy of Sciences; Hongbo Fu, City University of Hong Kong

DeepMag: Source Specific Motion Magnification Using Gradient Ascent
Daniel McDuff, Microsoft Research AI; Weixuan (Vincent) Chen, Massachusetts Institute of Technology/MIT Media Lab

End-to-end Learned, Optically Coded Super-resolution SPAD Camera
Qilin Sun, KAUST; Jian Zhang, Peking University; Xiong Dun, Tongji University; Bernard Ghanem, King Abdullah University of Science and Technology; Yifan Peng, Stanford University; Wolfgang Heidrich, King Abdullah University of Science and Technology

Interactive Video Stylization Using Few-Shot Patch-based Training
Ondřej Texler, CTU in Prague, FEE; David Futschik, CTU in Prague, FEE; Michal Kučera, CTU in Prague, FEE; Ondřej Jamriška, CTU in Prague, FEE; Šárka Sochorová, CTU in Prague, FEE; Menglei Chai, Snap Inc.; Sergey Tulyakov, Snap Inc.; Daniel Sýkora, CTU in Prague, FEE

Interferometric Transmission Probing With Coded Mutual Intensity
Alankar Kotwal, Carnegie Mellon University; Anat Levin, Technion; Ioannis Gkioulekas, Carnegie Mellon University

KRISM – Krylov Subspace-Based Optical Computing of Hyperspectral Images
Vishwanath Saragadam, Carnegie Mellon University Electrical and Computer Engineering; Aswin Sankaranarayanan, Carnegie Mellon University Electrical and Computer Engineering

Learning Temporal Coherence via Self-Supervision for GAN-Based Video Generation
Mengyu Chu, Technical University of Munich; You Xie, Technical University of Munich; Jonas Mayer, Technical University of Munich; Laura Leal-Taixé, Technical University of Munich; Nils Thuerey, Technical University of Munich

Local Fourier Slice Photography
Christian Lessig, Institute for Simulation and Graphics, Otto-von-Guericke-Universität Magdeburg

Manipulating Attributes of Natural Scenes via Hallucination
Levent Karacan, Hacettepe University/Iskenderun Technical University; Zeynep Akata, University of Tuebingen; Aykut Erdem, Hacettepe University; Erkut Erdem, Hacettepe University

Noise-Resilient Reconstruction of Panoramas and 3D Scenes Using Robot-mounted Unsynchronized Commodity RGB-D Cameras
Sheng Yang, Tsinghua University; Beichen Li, Massachusetts Institute of Technology; Yan-Pei Cao, Tsinghua University; Hongbo Fu, City University of Hong Kong; Yu-Kun Lai, Cardiff University; Leif Kobbelt, Rheinisch Westfalische Technische Hochschule Aachen; Shi-Min Hu, Tsinghua University

Non-Line-of-Sight Reconstruction Using Efficient Transient Rendering
Julian Iseringhausen, University of Bonn; Matthias B. Hullin, University of Bonn

One Shot 3D Photography
Johannes Kopf, Facebook; Kevin Matzen, Facebook; Suhib Alsisan, Facebook; Ocean Quigley, Facebook; Francis Ge, Facebook; Yangming Chong, Facebook; Josh Patterson, Facebook; Jan-Michael Frahm, Facebook; Shu Wu, Facebook; Matthew Yu, Facebook; Peizhao Zhang, Facebook; Zijian He, Facebook; Peter Vajda, Facebook; Ayush Saraf, Facebook; Michael Cohen, Facebook

PolyFit: Perception-aligned Vectorization of Raster Clip-art via Intermediate Polygonal Fitting
Edoardo Alberto Dominici, University of British Columbia; Nico Schertler, University of British Columbia; Jonathan Griffin, University of British Columbia; Shayan Hoshyari, Adobe; Leonid Sigal, University of British Columbia; Alla Sheffer, University of British Columbia

Portrait Shadow Manipulation
Jonathan Barron, Google; Yun-Ta Tsai, Google; Rohit Pandey, Google; Xiuming Zhang, MIT/Google; Ren Ng, University of California, Berkeley; David Jacobs, Google

Quanta Burst Photography
Sizhuo Ma, University of Wisconsin-Madison; Shantanu Gupta, University of Wisconsin-Madison; Arin C. Ulku, École Polytechnique Fédérale de Lausanne; Claudio Bruschini, École Polytechnique Fédérale de Lausanne; Edoardo Charbon, École Polytechnique Fédérale de Lausanne; Mohit Gupta, University of Wisconsin-Madison

Real-Time Image Smoothing via Iterative Least Squares
Wie Liu, The University of Adelaide; Pingping Zhang, Dalian University of Technology; Xiaolin Huang, Shanghai Jiao Tong University; Jie Yang, Shanghai Jiao Tong University; Chunhua Shen, The University of Adelaide; Reid Ian, The University of Adelaide

Single Image HDR Reconstruction Using a CNN With Masked Features and Perceptual Loss
Marcel Santana, Santos Universidade Federal de Pernambuco; Ing Ren Tsang, Universidade Federal de Pernambuco; Nima Khademi Kalantari, Texas A&M University

Single-Shot High-Quality Facial Geometry and Skin Appearance Capture
Jérémy Riviere, DisneyResearch|Studios; Paulo Gotardo, DisneyResearch|Studios; Derek Bradley, DisneyResearch|Studios; Abhijeet Ghosh, Imperial College London; Thabo Beeler, DisneyResearch|Studios/Google

XNect: Real-Time Multi-Person 3D Motion Capture With a Single RGB Camera
Dushyant Mehta, Max Planck Institute For Informatics; Oleksandr Sotnychenko, Max Planck Institute For Informatics; Franziska Mueller, Max Planck Institute For Informatics; Weipeng Xu, Max Planck Institute For Informatics; Mohamed Elgharib, Max Planck Institute For Informatics; Pascal Fua, EPFL; Hans-Peter Seidel, Max Planck Institute For Informatics; Helge Rhodin, UBC; Gerard Pons-Moll, Max Planck Institute For Informatics; Christian Theobalt, Max Planck Institute For Informatics

INTERACTION/VR

ARAnimator: In-situ Character Animation in Mobile AR With User-defined Motion Gestures
Hui Ye, School of Creative Media, City University of Hong Kong; Kin Chung Kwan, School of Creative Media, City University of Hong Kong; Wanchao Su, School of Creative Media, City University of Hong Kong; Hongbo Fu, School of Creative Media, City University of Hong Kong

Enhanced Interactive 360° Viewing via Automatic Guidance
Seunghoon Cha, Visual Media Lab, KAIST/KAI Inc.; Jungjin Lee, KAI Inc.; Seunghwa Jeong, Visual Media Lab, KAIST/KAI Inc.; Younghui Kim, KAI Inc.; Junyong Noh, Visual Media Lab, KAIST

Gaze-Contingent Ocular Parallax Rendering for Virtual Reality
Robert Konrad, Stanford University; Anastasios Angelopoulos, Stanford University; Gordon Wetzstein, Stanford University

HeadBlaster: A Wearable Approach to Simulating Motion Perception Using Head-Mounted AirPropulsion Jets
Shi-Hong Liu, National Taiwan University; Pai-Chien Yen, National Taiwan University; Yi-Hsuan Mao, National Taiwan University; Yu-Hsin Lin, National Taiwan University; Erick Chandra, National Taiwan University; Mike Y. Chen, National Taiwan University

Human-in-the-Loop Differential Subspace Search in High-dimensional Latent Space
Chia-Hsing Chiu, National Taiwan University of Science and Technology; Yuki Koyama, National Institute of Advanced Industrial Science and Technology (AIST); Yu-Chi Lai, National Taiwan University of Science and Technology; Takeo Igarashi, The University of Tokyo; Yonghao Yue, AGU

Immersive Light Field Video With a Layered Mesh Representation
Michael Broxton, Google; John Flynn, Google; Ryan Overbeck, Google; Daniel Erickson, Google; Peter Hedman, Google; Matthew Duvall, Google; Jason Dourgarian, Google; Jay Busch, Google; Matt Whalen, Google; Paul Debevec, Google

MEgATrack: Monochrome Egocentric Articulated Hand-Tracking for Virtual Reality
Shangchen Han, Facebook Reality Labs; Beibei Liu, Facebook Reality Labs; Randi Cabezas, Facebook Reality Labs; Christopher Twigg, Facebook Reality Labs; Peizhao Zhang, Facebook Reality Labs; Jeff Petkau, Facebook Reality Labs; Tsz-Ho Yu, Facebook Reality Labs; Chun-Jung Tai, Facebook Reality Labs; Muzaffer Akbay, Facebook Reality Labs; Chengde Wan, Facebook Reality Labs; Robert Wang, Facebook Reality Labs; Lingling Tao, Facebook Reality Labs; Yuting Ye, Facebook Reality Labs; Asaf Nitzan, Facebook Reality Labs; Gang Dong, Facebook Reality Labs; Zheng Wang, Facebook Reality Labs

Sequential Gallery for Interactive Visual Design Optimization
Yuki Koyama, National Institute of Advanced Industrial Science and Technology (AIST); Issei Sato, The University of Tokyo; Masataka Goto, National Institute of Advanced Industrial Science and Technology (AIST)

Tactile Line Drawings for Improved Shape Understanding in Blind and Visually Impaired Users
Athina Panotopoulou, Dartmouth College/Boston University; Xiaoting Zhang, Boston University; Tammy Qiu, Boston University; Xing-Dong Yang; Dartmouth College; Emily Whiting, Boston University

Tactile Rendering Based on Skin Stress Optimization
Mickeal Verschoor, Universidad Rey Juan Carlos; Dan Casas, Universidad Rey Juan Carlos; Miguel A. Otaduy, Universidad Rey Juan Carlos

The Eyes Have It: An Integrated Eye and Face Model for Photorealistic Facial Animation
Gabriel Schwartz, Facebook Reality Labs; Shih-En Wei, Facebook Reality Labs; Te-Li Wang, Facebook Reality Labs; Stephen Lombardi, Facebook Reality Labs; Tomas Simon, Facebook Reality Labs; Jason Saragih, Facebook Reality Labs; Yaser Sheikh, Facebook Reality Labs

METHODS & APPLICATIONS

CNNs on Surfaces Using Rotation-Equivariant Features
Ruben Wiersma, Delft University of Technology; Elmar Eisemann, Delft University of Technology; Klaus Hildebrandt, Delft University of Technology

Code Replicability in Computer Graphics
Nicolas Bonneel, CNRS – LIRIS; David Coeurjolly, CNRS – LIRIS; Julie Digne, CNRS – LIRIS; Nicolas Mellado, CNRS – IRIT

Fast and Deep Facial Deformations
Stephen W. Bailey, University of California, Berkeley/Unity Technologies; Dalton Omens, University of California, Berkeley; Paul DiLorenzo, DreamWorks Animation; James F. O’Brien, University of California, Berkeley

MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing
Zhentao Tan, University of Science and Technology of China; Menglei Chai, Snap Inc.; Dongdong Chen, Microsoft Research; Jing Liao, City University of Hong Kong; Qi Chu, University of Science and Technology of China; Lu Yuan, Microsoft Research; Sergey Tulyakov, Snap Inc.; Nenghai Yu, University of Science and Technology of China

NASOQ: Numerically Accurate Sparsity-Oriented QP Solver
Kazem Cheshmi, University of Toronto; Danny M. Kaufman, Adobe Research; Shoaib Kamil, Adobe Research; Maryam Mehri Dehnavi, University of Toronto

Nonlinear Color Triads for Approximation, Learning, and Direct Manipulation of Color Distributions
Maria Shugrina, University of Toronto/Nvidia; Amlan Kar, University of Toronto/Nvidia; Sanja Fidler, University of Toronto/Nvidia; Karan Singh, University of Toronto

RoboCut: Hot-wire Cutting With Robot-controlled Flexible Rods
Simon Duenser, ETH Zurich; Roi Poranne, ETH Zurich/University of Haifa; Bernhard Thomaszewski, Université de Montréal; Stelian Coros, ETH Zurich

Sliced Optimal Transport Sampling
Lois Paulin, LIRIS; Nicolas Boneel, LIRIS; David Coeurjolly, LIRIS; Jean-Claude Lehl, LIRIS; Antoine Webanck, LIRIS; Mathieu Desbrun, Caltech; Victor Ostromoukhov, LIRIS

Unsupervised K-modal Styled Content Generation
Omry Sendik, Tel Aviv University; Dani Lischinski, The Hebrew University of Jerusalem; Daniel Cohen-Or, Tel Aviv University

MODELING/GEOMETRY

A Class of C2 Interpolating Splines
Cem Yuksel, University of Utah

A Low-Parametric Rhombic Microstructure Family for Irregular Lattices
Davi Colli Tozoni, New York University; Jérémie Dumas, Adobe Research/nTopology; Zhongshi Jiang, New York University; Julian Panetta, EPFL; Daniele Panozzo, New York University; Denis Zorin, New York University

A Smoothness Energy Without Boundary Distortion for Curved Surfaces
Oded Stein, Columbia University; Alec Jacobson, University of Toronto; Max Wardetzky, University of Göttingen; Eitan Grinspun, Columbia University/University of Toronto

Algebraic Representations for Volumetric Frame Fields
David Palmer, Massachusetts Institute of Technology; David Bommes, University of Bern; Justin Solomon, Massachusetts Institute of Technology

Automatic Structure Synthesis for 3D Woven Relief
Rundong Wu, Cornell University; Claire Harvey, T.E.A.M. Inc.; Joy Xiaoji Zhang, Cornell University; Sean Kroszner, T.E.A.M. Inc.; Brooks Hagan, Rhode Island School of Design; Steve Marschner, Cornell University

Bézier Guarding: Precise Higher-Order Meshing of Curved 2D Domains
Manish Mandad, Osnabrück University; Marcel Campen, Osnabrück University

C-Space Tunnel Discovery for Puzzle Path Planning
Xinya Zhang, The University of Texas at Austin; Robert Belfer, McGill University; Paul G. Kry, McGill University; Etienne Vouga, The University of Texas at Austin

Colored Fused Filament Fabrication
Haichuan Song, School of Computer Science and Technology, East China Normal University; Jonàs Martínez, Université de Lorraine/CNRS, Inria, LORIA; Pierre Bedell, Université de Lorraine/CNRS, Inria, LORIA; Noemie Vennin, Université de Lorraine/CNRS, Inria, LORIA; Sylvain Lefebvre, Université de Lorraine/CNRS, Inria, LORIA

Complete Classification and Efficient Determination of Arrangements Formed by Two Ellipsoids
Xiaohong Jia, KLMM, Academy of Mathematics and Systems Science Chinese Academy of Science/University of Chinese Academy of Sciences; Changhe Tu, Shandong University, School of Computer Science and Technology; Bernard Mourrain Aromath, INRIA Méditerranée, Université Côte d’Azur; Wenping Wang, The University of Hong Kong

Computational Design of Skintight Clothing
Juan Sebastian Montes Maestre, Concordia University; Bernhard Thomaszewski, Universite de Montreal, ETH Zurich; Sudhir Mudur, Concordia University; Tiberiu Popa, Concordia University

Computational Parquetry: Fabricated Style Transfer With Wood Pixels
Julian Iseringhausen, University of Bonn; Michael Weinmann, University of Bonn; Weizhe Huang, University of Bonn; Matthias Hullin, University of Bonn

Corner-Operated Tran-Similar (COTS) Maps, Patterns, and Lattices
Jarek Rossignac, Georgia Tech

Cut-Enhanced Polycube-Maps for Feature-Aware All-Hex Meshing
Hao-Xiang Guo, Tsinghua University/Microsoft Research Asia; Xiaohan Liu, NLPR, Institute of Automation, Chinese Academy of Sciences/School of Artificial Intelligence, University of Chinese Academy of Sciences; Dong-Ming Yan, NLPR, Institute of Automation, Chinese Academy of Sciences/School of Artificial Intelligence, University of Chinese Academy of Sciences; Yang Liu, Microsoft Research Asia

Data-Driven Extraction and Composition of Secondary Dynamics in Facial Performance Capture
Gaspard Zoss, DisneyResearch|Studios/ETH Zurich; Eftychios Sifakis, University of Wisconsin-Madison/Disney Research|Studios; Markus Gross, DisneyResearch|Studios/ETH Zurich; Thabo Beeler, DisneyResearch|Studios/Google; Derek Bradley, DisneyResearch|Studios

Deep Generative Modeling for Scene Synthesis via Hybrid Representations
Zaiwei Zhang, University of Texas at Austin; Zhenpei Yang, University of Texas at Austin; Chongyang Ma, Kwai Inc.; Linjie Luo, ByteDance Inc.; Alexander Huth, University of Texas at Austin; Etienne Vouga, University of Texas at Austin; Qixing Huang, University of Texas at Austin

Deep Geometric Texture Synthesis
Amir Hertz, Tel Aviv University; Rana Hanocka, Tel Aviv University; Raja Giryes, Tel Aviv University; Daniel Cohen-Or, Tel Aviv University

Developability of Heightfields via Rank Minimization
Silvia Sellán, University of Toronto; Noam Aigerman, Adobe Research; Alec Jacobson, University of Toronto

Discrete Differential Operators on Polygonal Meshes
Fernando de Goes, Pixar Animation Studios; Andrew Butts, Pixar Animation Studios; Mathieu Desbrun, Caltech; Xuaner Zhang, University of California, Berkeley, Google

Dynamic Graph CNN for Learning on Point Clouds
Yue Wang, Massachusetts Institute of Technology (MIT); Yongbin Sun, Massachusetts Institute of Technology (MIT); Ziwei Liu, The Chinese University of Hong Kong; Sanjay Sarma, Massachusetts Institute of Technology (MIT); Michael Bronstein, Imperial College London; Justin Solomon, Massachusetts Institute of Technology (MIT)

Efficient Bijective Parameterizations
Jian-Ping Su, University of Science and Technology of China; Chunyang Ye, University of Science and Technology of China; Ligang Liu, University of Science and Technology of China; Xiao-Ming Fu, University of Science and Technology of China

ENIGMA: Evolutionary Non-Isometric Geometry Matching
Michal Edelstein, Technion – Israel Institute of Technology; Danielle Ezuz, Technion – Israel Institute of Technology; Mirela Ben-Chen, Technion – Israel Institute of Technology

Error-Bounded Compatible Remeshing
Yang Yang, University of Science and Technology of China; Wen-Xiang Zhang, University of Science and Technology of China; Yuan Liu, Hefei University of Technology; Ligang Liu, University of Science and Technology of China; Xiao-Ming Fu, University of Science and Technology of China

Exact and Efficient Polyhedral Envelope Containment Predicate
Bolun Wang, Beihang University/New York University; Teseo Schneider, New York University; Yixin Hu, New York University; Marco Attene, Italian National Research Council; Daniele Panozzo, New York University

Exertion-Aware Path Generation
Wanwan Li, George Mason University; Biao Xie, University of Massachusetts Boston; Yongqi Zhang, George Mason University; Walter Meiss, University of Massachusetts Boston; Haikun Huang, University of Massachusetts Boston; Lap-Fai Yu, George Mason University

Fabrication-in-the-Loop Co-Optimization of Surfaces and Styli for Drawing Haptics
Michal Piovarci, Universita della Svizzera italiana; Danny Kaufman, Adobe Research; David Levin, University of Toronto; Piotr Didyk, Universita della Svizzera italiana

Fast Tetrahedral Meshing in the Wild
Yixin Hu, New York University; Teseo Schneider, New York University; Bolun Wang, Beihang University; Denis Zorin, New York University; Daniele Panozzo, New York University

Graph2Plan: Learning Floorplan Generation From Layout Graphs
Ruizhen Hu, Shenzhen University; Zeyu Huang, Shenzhen University; Yuhan Tang, Shenzhen University; Oliver van Kaick, Carleton University; Hao Zhang, Simon Fraser University; Hui Huang, Shenzhen University

Inter-surface Maps via Constant-Curvature Metrics
Patrick Schmidt, RWTH Aachen University; Marcel Campen, Osnabrück University; Janis Born, RWTH Aachen University; Leif Kobbelt, RWTH Aachen University

Inverse Procedural Modeling of Branching Structures by Inferring L-Systems
Jianwei Guo, Institute of Automation, CAS; Haiyong Jiang, University of Chinese Academy of Science; Bedrich Benes, Purdue University; Oliver Deussen, SIAT Shenzhen University Konstanz; Xiaopeng Zhang, Institute of Automation, CAS; Dani Lischinski, Hebrew University of Jerusalem; Hui Huang, Shenzhen University

Kinetic Shape Reconstruction
Jean-Philippe Bauchet, Université Côte d’Azur, INRIA; Florent Lafarge, Université Côte d’Azur, INRIA

Lifting Simplices to Find Injectivity
Xingyi Du, Washington University in St. Louis; Noam Aigerman, Adobe Research; Qingnan Zhou, Adobe Research; Shahar Z. Kovalsky, Duke University; Yajie Yan, Facebook Reality Lab; Danny M. Kaufman, Adobe Research; Tao Ju, Washington University in St. Louis

Loopy Cuts: Practical Feature-Preserving Block Decomposition for Strongly Hex-dominant Meshing
Marco Livesu, CNR IMATI; Nico Pietroni, UTS Sydney; Enrico Puppo, University of Genoa; Alla Sheffer, University of British Columbia; Paolo Cignoni, CNR ISTI

MGCN: Descriptor Learning Using Multiscale GCNs
Yiqun Wang, NLPR, Institute of Automation, Chinese Academy of Sciences/School of Artificial Intelligence, University of Chinese Academy of Sciences; Jing Ren, KAUST; Dong-Ming Yan, NLPR, Institute of Automation, Chinese Academy of Sciences/School of Artificial Intelligence, University of Chinese Academy of Sciences; Jianwei Guo, NLPR, Institute of Automation, Chinese Academy of Sciences/School of Artificial Intelligence, University of Chinese Academy of Sciences; Xiaopeng Zhang, NLPR, Institute of Automation, Chinese Academy of Sciences/School of Artificial Intelligence, University of Chinese Academy of Sciences; Peter Wonka, KAUST

Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on Volumetric Domains
Rohan Sawhney, Carnegie Mellon University; Keenan Crane, Carnegie Mellon University

Neural Subdivision
Hsueh-Ti Derek Liu, University of Toronto; Vladimir G. Kim, Adobe Research; Siddhartha Chaudhuri, Adobe Research/IIT Bombay; Noam Aigerman, Adobe Research; Alec Jacobson, University of Toronto

Octahedral Frames for Feature-Aligned Cross-Fields
Paul Zhang, Massachusetts Institute of Technology; Josh Vehkter, University of Texas at Austin; Ed Chien, Massachusetts Institute of Technology; David Bommes, University of Bern; Etienne Vouga, University of Texas at Austin; Justin Solomon, Massachusetts Institute of Technology

On Elastic Geodesic Grids and Their Planar to Spatial Deployment
Stefan Pillwein, Technische Universität Wien (TU Wien); Kurt Leimer, Technische Universität Wien (TU Wien); Michael Birsak, King Abdullah University of Science and Technology (KAUST); Przemyslaw Musialski, New Jersey Institute of Technology (NJIT)/Technische Universität Wien (TU Wien)

Point2Mesh: A Self-prior for Deformable Meshes
Rana Hanocka, Tel Aviv University; Gal Metzer, Tel Aviv University; Raja Giryes, Tel Aviv University; Daniel Cohen-Or, Tel Aviv University

Principal Symmetric Meshes
Davide Pellis, TU Wien; Hui Wang, Dalian University of Technology; Martin Kilian, TU Wien; Florian Rist, KAUST; Helmut Pottmann, KAUST/TU Wien; Christian Mueller, TU Wien

Quad-Mesh Based Isometric Mappings and Developable Surfaces
Caigui Jiang, KAUST; Cheng Wang, KAUST; Florian Rist, KAUST/TU Wien; Johannes Wallner, TU Graz; Helmut Pottmann, KAUST

Reinforcement of General Shell Structures
Francisca T. Gil Ureta, New York University/Amazon Imaging Sciences; Nico Pietroni, University of Technology Sydney; Denis Zorin, New York University

Seamless Parametrization With Arbitrary Cones for Arbitrary Genus
Marcel Campen, Osnabrück University; Hanxiao Shen, New York University; Jiaran Zhou, Shandong University; Denis Zorin, New York University

Subdivision Directional Fields
Bram Custers, Technische Universiteit Eindhoven; Amir Vaxman, Utrecht University

TilinGNN: Learning to Tile With Self-supervised Graph Neural Network
Hao Xu, The Chinese University of Hong Kong; Ka Hei Hui, The Chinese University of Hong Kong; Chi Wing Fu, The Chinese University of Hong Kong; Hao (Richard) Zhang, Simon Fraser University

Uncertainty Quantification for Multi-scan Registration
Xiangru Huang, The University of Texas at Austin; Zhenxiao Liang, The University of Texas at Austin; Qixing Huang

Variable-Width Contouring for Additive Manufacturing
Samuel Hornus, Inria; Tim Kuipers, Ultimaker/TU Delft; Olivier Devillers, Inria; Monique Teillaud, Inria; Jonàs Martínez, Inria; Marc Glisse, Inria; Sylvain Lazard, Inria; Sylvain Lefebvre, Inria

Vid2Curve: Simultaneously Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video
Peng Wang, The University of Hong Kong; Lingjie, Liu, Max Planck Institute for Informatics; Nenglun Chen, The University of Hong Kong; Hung-Kuo Chu, National Tsing Hua University; Christian Theobalt, Max Planck Institute for Informatics; Wenping Wang, The University of Hong Kong

VoroCrust: Voronoi Meshing Without Clipping
Ahmed Abdelkader Abdelrazek, University of Maryland at College Park; Mohamed Ebeida, Sandia National Laboratories; Ahmed Mahmoud, University of California, Davis; Chandrajit Bajaj, University of Texas at Austin; Scott A. Mitchell, Sandia National Laboratories; John Owens, University of California, Davis; Ahmad Rushdi, Sandia National Laboratories

RENDERING/VISUALIZATION

A Luminance-aware Model of Judder Perception
Alexandre Chapiro; Robin Atkins, Dolby Laboratories; Scott Daly, Dolby Laboratories

A Perceptual Model of Motion Quality for Rendering With Adaptive Refresh-Rate and Resolution
Gyorgy Denes, University of Cambridge; Akshay Jindal, University of Cambridge; Aliaksei Mikhailiuk, University of Cambridge; Rafal K. Mantiuk, University of Cambridge

Accurate Rendering of Liquid-crystals and Inhomogeneous Optically Anisotropic Media
Shlomi Steinberg, University of California, Santa Barbara

Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning
Yuchi Huo, KAIST; Rui Wang, Zhejiang, University/State Key Lab of CAD&CG; Ruzhang Zheng, Zhejiang, University/State Key Lab of CAD&CG; Hualin Xu, Zhejiang, University/State Key Lab of CAD&CG; Hujun Bao, Zhejiang University/State Key Lab of CAD&CG; Sung-Eui Yoon, KAIST

Analytic Spherical Harmonic Gradients for Real-Time Rendering With Many Polygonal Area Lights
Lifan Wu, University of California, San Diego; Guangyan Cai, University of California, San Diego; Shuang Zhao, University of California, Irvine; Ravi Ramamoorthi, University of California, San Diego

Compositional Neural Scene Representations for Shading Inference
Jonathan Granskog, NVIDIA/ETH Zurich; Fabrice Rousselle, NVIDIA; Marios Papas, The Walt Disney Company; Jan Novák, NVIDIA

Continuous Multiple Importance Sampling
Rex West, The University of Tokyo; Iliyan Georgiev, Autodesk; Adrien Gruson, McGill University; Toshiya Hachisuka, The University of Tokyo

Converting Stroked Primitives to Filled Primitives
Diego Nehab, IMPA

Delayed Rejection Metropolis Light Transport
Damien Rioux-Lavoie, McGill University; Joey Litalien, McGill University; Adrien Gruson, McGill University; Toshiya Hachisuka, The University of Tokyo; Derek Nowrouzezahrai, McGill University

Example-Based Microstructure Rendering With Constant Storage
Beibei Wang, Nanjing, University of Science and Technology; Milos Hasan, Adobe Research; Nicola Holzschuch, University Grenoble Alpes Inria, CNRS, Grenoble INP, LJK; Ling-Qi Yan, University of California Santa Barbara

Generating Digital Painting Lighting Effects via RGB-space Geometry
Lvmin Zhang, Soochow University/Style2Paints; Edgar Simo-Serra, Waseda University/JST PRESTO; Yi Ji, Soochow University; Chunping Liu, Soochow University

GS-PAT: High-speed Multi-point Sound-Fields for Phased Arrays of Transducers
Diego Martinez Plasencia, University of Sussex; Ryuji Hirayama, University of Sussex; Roberto Antonio Montano Murillo, University of Sussex; Sriram Subramanian, University of Sussex

Image-Based Acquisition and Modeling of Polarimetric Reflectance
Seung-Hwan Baek, KAIST; Tizian Zeltner, EPFL; Hyun Jin Ku, KAIST; Inseung Hwang, KAIST; Xin Tong, Microsoft Research Asia; Wenzel Jakob, EPFL; Min H. Kim, KAIST

Langevin Monte Carlo Rendering With Gradient-Based Adaptation
Fujun Luan, Cornell University; Shuang Zhao, University of California, Irvine; Kavita Bala, Cornell University; Ioannis Gkioulekas, Carnegie Mellon University

Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces
Matthew J. Keeter

Microfacet BSDFs Generated From NDFs, Using Explicit Microgeometry
Mickaël Ribardière, University of Poitiers – XLIM; Benjamin Bringier, University of Poitiers – XLIM; Lionel Simonot, University of Poitiers – PRIME; Daniel Meneveaux, University of Poitiers – XLIM

Neural Supersampling for Real-time Rendering
Lei Xiao, Facebook Reality Labs; Salah Nouri, Facebook Reality Labs; Matt Chapman, Facebook Reality Labs; Alexander Fix, Facebook Reality Labs; Douglas Lanman, Facebook Reality Labs; Anton Kaplanyan, Facebook Reality Labs

Path-Space Differentiable Rendering
Cheng Zhang, University of California, Irvine; Bailey Miller, Carnegie Mellon University; Kai Yan, University of California, Irvine; Ioannis Gkioulekas, Carnegie Mellon University; Shuang Zhao, University of California, Irvine

Penrose: From Mathematical Notation to Beautiful Diagrams
Katherine Ye, Carnegie Mellon University; Wode Ni, Carnegie Mellon University; Max Krieger, Carnegie Mellon University; Dor Ma’ayan, Technion – Israel Institute of Technology; Jenna Wise, Carnegie Mellon University; Jonathan Aldrich, Carnegie Mellon University; Joshua Sunshine, Carnegie Mellon University; Keenan Crane, Carnegie Mellon University

Polar Stroking: New Theory and Methods for Stroking Paths
Mark Kilgard, NVIDIA

Radiative Backpropagation: An Adjoint Method for Lightning-Fast Differentiable Rendering
Merlin Nimier-David, EPFL; Sébastien Speierer, EPFL; Benoît Ruiz, EPFL; Wenzel Jakob, EPFL

Resampling-Aware Weighting Functions for Bidirectional Path Tracing Using Multiple Light Sub-Paths
Kosuke Nabata, Wakayama University; Kei Iwasak, Wakayama University/Prometech CG Research; Yoshinori Dobashi, Hokkaido University/Prometech CG Research

Robust Fitting of Parallax-Aware Mixtures for Path Guiding
Lukas Ruppert, University of Tübingen; Sebastian Herholz, University of Tübingen/Intel Corporation; Hendrik P. A. Lensch, University of Tübingen

Spatiotemporal Reservoir Resampling for Real-Time Ray Tracing With Dynamic Direct Lighting
Benedikt Bitterli, Dartmouth College/NVIDIA; Chris Wyman, NVIDIA; Matt Pharr, NVIDIA; Peter Shirley, NVIDIA; Aaron Lefohn, NVIDIA; Wojciech Jarosz, Dartmouth College

Specular Manifold Sampling for Rendering High-Frequency Caustics and Glints
Tizian Zeltner, EPFL; Iliyan Georgiev, Autodesk; Wenzel Jakob, EPFL

The Design and Evolution of the UberBake Light Baking System
Dario Seyb, Dartmouth College; Peter-Pike Sloan, Activision Publishing; Ari Silvennoinen, Activision Publishing; Michal Iwanicki, Activision Publishing; Wojciech Jarosz, Dartmouth College

Variance-Aware Path Guiding
Alexander Rath, DFKI/Saarland University; Pascal Grittmann, Saarland University; Sebastian Herholz, University of Tübingen/Intel Corporation; Petr Vévoda, Chaos Czech/Charles University; Philipp Slusallek, DFKI/Saarland University; Jaroslav Křivánek, Chaos Czech/Charles University

If you are loading a GLB in ThreeJS, and want to view the wireframe of the model, use this snippet:

mesh.traverse( function ( child ) {
if ( child.isMesh ) {
child.material = new THREE.MeshBasicMaterial({color: 0xffffff });
child.material.wireframe = true;
}
} );
mesh.material.wireframe = true;
We traverse the mesh and child components hierarchically and replace them with a new wireframe material. Taken from here.