Publications

Our publications provide insight into some of our leading-edge research.

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2020

Scaling Probe-Based Real-Time Dynamic Global Illumination for Production (Technical Report)
Zander Majercik, Adam Marrs, Josef Spjut, Morgan McGuire
Zeroploit: Exploiting Zero Valued Operands in Interactive Gaming Applications
Ram Rangan, Mark Stephenson, Aditya Ukarande, Shyam Murthy, Virat Agarwal, Marc Blackstein
Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lighting
Benedikt Bitterli, Chris Wyman, Matt Pharr, Peter Shirley, Aaron Lefohn, Wojciech Jarosz
Practical Product Sampling by Fitting and Composing Warps
David Hart, Matt Pharr, Thomas Müller, Ward Lopes, Morgan McGuire, Peter Shirley
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar
Post-Render Warp with Late Input Sampling Improves Aiming Under High Latency Conditions
Joohwan Kim, Pyarelal Knowles, Josef Spjut, Ben Boudaoud, Morgan McGuire
ꟻLIP: A Difference Evaluator for Alternating Images
Pontus Ebelin, Jim Nilsson, Tomas Akenine-Möller, Magnus Oskarsson, Kalle Åström, Mark D. Fairchild
Wolfgang Straßer Award for 3rd best paper, High Performance Graphics 2020
Compositional Neural Scene Representations for Shading Inference
Jonathan Granskog, Fabrice Rousselle, Marios Papas, Jan Novák
Understanding SSIM
Jim Nilsson, Tomas Akenine-Möller
A Taxonomy of Bidirectional Scattering Distribution Function Lobes for Rendering Engineers
Morgan McGuire, Julie Dorsey, John F. Hughes, Steve Marschner, Matt Pharr, Peter Shirley
Neural Denoising with Layer Embeddings
Jacob Munkberg, Jon Hasselgren
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila
Neural Temporal Adaptive Sampling and Denoising
Jon Hasselgren, Jacob Munkberg, Marco Salvi, Anjul Patney, Aaron Lefohn
Prescription AR: a fully-customized prescription-embedded augmented reality display
Jui-Yi Wu, Jonghyun Kim
Domain Stylization: A Fast Covariance Matching Framework towards Domain Adaptation
Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz
Patch scanning displays: spatiotemporal enhancement for displays
Kaan Akşit

2019

Few-Shot Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro
Dance to Music
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz
High-Quality Self-Supervised Deep Image Denoising
Samuli Laine, Tero Karras, Jaakko Lehtinen, Timo Aila
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila
Latency of 30 ms Benefits First Person Targeting Tasks More Than Refresh Rate Above 60 Hz
Josef Spjut, Ben Boudaoud, Kamran Binaee, Jonghyun Kim, Zander Majercik, Morgan McGuire, David Luebke, Joohwan Kim
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, Bharath Hariharan
Neural Turtle Graphics for Modeling City Road Layouts
Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler
Meta-Sim: Learning to Generate Synthetic Datasets
Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler
Reading Speed Decreases for Fast Readers Under Gaze-Contingent Rendering
Rachel Albert, Angelica Godinez, David Luebke
Esports Arms Race: Latency and Refresh Rate for Competitive Gaming Tasks
Joohwan Kim, Josef Spjut, Morgan McGuire, Zander Majercik, Ben Boudaoud, Rachel Albert, David Luebke
Foveated AR: Dynamically-Foveated Augmented Reality Display
Jonghyun Kim, Youngmo Jeong, Michael Stengel, Kaan Akşit, Rachel Albert, Ben Boudaoud, Trey Greer, Joohwan Kim, Ward Lopes, Zander Majercik, Peter Shirley, Josef Spjut, Morgan McGuire, David Luebke
Matching Prescription & Visual Acuity: Towards AR for Humans
Jonghyun Kim, Michael Stengel, Jui-Yi Wu, Ben Boudaoud, Josef Spjut, Kaan Akşit, Rachel Albert, Youngmo Jeong, Trey Greer, Ward Lopes, Zander Majercik, Peter Shirley, Morgan McGuire, David Luebke
Best in Show Award - Emerging Technology in SIGGRAPH 2019
Temporally Dense Ray Tracing
Pontus Ebelin, Jim Nilsson, Marco Salvi, Josef Spjut, Tomas Akenine-Möller
Dynamic Many-Light Sampling for Real-Time Ray Tracing
Pierre Moreau, Matt Pharr, Petrik Clarberg
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras, Samuli Laine, Timo Aila
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu