Bio

I am a Principal Research Scientist in NVIDIA’s Human Performance and Experience research group, based in Redmond, Washington. Previously, I was a Research Scientist at Facebook Reality Labs (2019-2021) and a Senior Research Scientist in Real-Time Rendering at NVIDIA (2013-2019). I received my Ph.D. from UC Davis in 2013, and my B.Tech. from IIT Delhi in 2007.

My research areas include visual perception, computer graphics, machine learning, and virtual/augmented reality. My recent work has led to advances in deep-learning for real-time graphics (co-developed DLSS 1.0), perceptual metrics for spatiotemporal image quality (co-developed FovVideoVDP), foveated rendering for VR graphics, and redirected walking in VR environments.

I try to track SIGGRAPH Trends.

2022

Image Features Influence Reaction Time: A Learned Probabilistic Perceptual Model for Saccade Latency
Budmonde Duinkharjav, Praneeth Chakravarthula, Rachel Brown, Anjul Patney, Qi Sun
SIGGRAPH
Project Preprint Video
Learning to compress videos without computing motion
Meixu Chen, Todd Goodall, Anjul Patney, Alan C. Bovik
Signal Processing: Image Communication
ScienceDirect

2021

Mantiuk:2021:FAV FovVideoVDP: A Visible Difference Predictor for Wide Field-of-view Video
Rafał K. Mantiuk, Gyorgy Denes, Alexandre Chapiro, Anton Kaplanyan, Gizem Rufo, Romain Bachy, Trisha Lian, and Anjul Patney
SIGGRAPH
Project Preprint Presentation Code
FovDots: Foveated rendering dataset
Gyorgy Denes, Anjul Patney, Gizem Rufo, Alexandre Chapiro, Anton Kaplanyan, Romain Bachy, Trisha Lian, Rafal Mantiuk
Dataset
Jin:2021:SOQ Subjective and Objective Quality Assessment of 2D and 3D Foveated Video Compression in Virtual Reality
Yize Jin, Meixu Chen, Todd Goodall, Anjul Patney, and Alan C. Bovik
IEEE Transactions on Image Processing
Dataset IEEE
A foveated video quality assessment model using space-variant natural scene statistics
Yize Jin, Todd Goodall, Anjul Patney, Richard Webb, Alan C. Bovik
IEEE International Conference on Image Processing
IEEE Preprint
Evaluating Foveated Video Quality Using Entropic Differencing
Yize Jin, Anjul Patney, Alan C. Bovik
Picture Coding Symposium
IEEE
MOVI-Codec: Deep Video Compression without Motion
Meixu Chen, Todd Goodall, Anjul Patney, Alan C. Bovik
Picture Coding Symposium
IEEE
FOVQA: Blind Foveated Video Quality Assessment
Yize Jin, Anjul Patney, Richard Webb, Alan C. Bovik
arXiv:2106.13328
Preprint

2020

Nie:2020:SSS Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel and Anima Anandkumar
ICML
Project arXiv Slides Data
Hasselgren:2020:NTA Neural Temporal Adaptive Sampling and Denoising
Jon Hasselgren, Jacob Munkberg, Marco Salvi, Anjul Patney and Aaron Lefohn
Eurographics
Project Preprint Video Recording
Wetzstein:2020:SAP State of the Art in Perceptual VR Displays
Gordon Wetzstein, Anjul Patney and Qi Sun
Book Chapter in Real VR – Immersive Digital Reality
Springer
Sun:2020:RWV Redirected Walking in VR
Qi Sun, Anjul Patney and Frank Steinicke
Book Chapter in Real VR – Immersive Digital Reality
Springer

2019

Patney:2019:TDR Towards Deep Real-time Rendering for Mixed Reality
Anjul Patney
Invited talk at Dagstuhl Seminar 19272 (Real VR - Importing the Real World into Immersive VR and Optimizing the Perceptual Experience of Head-Mounted Displays)
DOI
Edelsten:2019:TNG Truly Next-Gen: Adding Deep Learning to Games & Graphics
Andrew Edelsten, Paula Jukarainen, Anjul Patney
Talk at Game Developers Conference (GDC) 2019
Recording (GDC Vault)

2018

Sun:2018:TVR Towards Virtual Reality Infinite Walking: Dynamic Saccadic Redirection
Qi Sun, Anjul Patney, Li-Yi Wei, Omer Shapira, Jingwan Lu, Paul Asente, Suwen Zhu, Morgan McGuire, David Luebke and Arie Kaufman
ACM Transactions on Graphics (SIGGRAPH)
Project Preprint Fast Forward Video Two-minute Papers GTC Demo
Patney:2018:DAA Detecting Aliasing Artifacts in Image Sequences Using Deep Neural Networks
Anjul Patney and Aaron Lefohn
High-Performance Graphics
ACM Slides
Mitchell:2018:SDH Spoke-Darts for High-Dimensional Blue Noise Sampling
Scott A. Mitchell, Mohamed S. Ebeida, Muhammad A. Awad, Chonhyon Park, Anjul Patney, Ahmad A. Rushdi, Laura P. Swiler, Dinesh Manocha and Li-Yi Wei
ACM Transactions on Graphics
Preprint Video Code
Patney:2018:AVP Applications of Vision Science to Virtual and Augmented Reality
Anjul Patney, Marina Zannoli, Joohwan Kim, Robert Konrad, Frank Steinicke, Martin S. Banks
ACM SIGGRAPH 2018 Course
Course Page

2017

Albert:2017:RFF Latency Requirements for Foveated Rendering in Virtual RealityBest Paper Award
Rachel Albert, Joohwan Kim, Anjul Patney and David Luebke
ACM Transactions on Applied Perception (Symposium on Applied Perception 2017)
Project Preprint
Schied:2017:SVGF Spatiotemporal Variance-Guided Filtering: Real-Time Reconstruction for Path-Traced Global IlluminationWolfgang Straßer Best Paper Award
Christoph Schied, Anton Kaplanyan, Chris Wyman, Anjul Patney, Chakravarty R. Alla Chaitanya, John Burgess, Shiqiu Liu, Carsten Dachsbacher, Aaron Lefohn, and Marco Salvi
High-Performance Graphics 2017
Project Preprint Video
Patney:2017:AVP Applications of Visual Perception to Virtual Reality Rendering
Anjul Patney, Marina Zannoli, George-Alex Koulieris, Joohwan Kim, Gordon Wetzstein, Frank Steinicke
ACM SIGGRAPH 2017 Course
Course Page
Patney:2017:PIF Perceptual Insights into Foveated Virtual Reality
Anjul Patney
NVIDIA GTC 2017 Talk:   Slides Recording
SIGGRAPH 2017 Recap:   Slides

2016

Patney:2016:TGT Towards Foveated Rendering for Gaze-Tracked Virtual Reality
Anjul Patney, Marco Salvi, Joohwan Kim, Anton Kaplanyan, Chris Wyman, Nir Benty, David Luebke, Aaron Lefohn
ACM Transactions on Graphics (SIGGRAPH Asia)
Project Preprint Supplementary Material Slides Fast Forward
Patney:2016:PBF Perceptually-Based Foveated Virtual RealityLaval Virtual Award
Anjul Patney, Joohwan Kim, Marco Salvi, Anton Kaplanyan, Chris Wyman, Nir Benty, Aaron Lefohn, David Luebke
ACM SIGGRAPH 2016 Emerging Technologies
Project Abstract Video
Kaplanyan:2016:FDO Filtering Distributions of Normals for Shading AntialiasingWolfgang Straßer Best Paper Award
Anton Kaplanyan, Stephen Hill, Anjul Patney, Aaron Lefohn
High-Performance Graphics, June 2016
Project Preprint Video

2015

Patney:2015:PAD Piko: A Framework for Authoring Programmable Graphics Pipelines
Anjul Patney, Stanley Tzeng, Kerry A. Seitz, Jr., and John D. Owens
ACM Transactions on Graphics (SIGGRAPH)
ACM Preprint arXiv:1404.6293 Slides

2014

Ebeida:2014:EIH Exercises in High-Dimensional Sampling: Maximal Poisson-disk Sampling and k-d Darts
Mohamed Ebeida, Scott Mitchell, Anjul Patney, Andrew Davidson, Stanley Tzeng, Muhammad Awad, Ahmed Mahmoud and John D. Owens
Topological and Statistical Methods for Complex Data -- Tackling Large-Scale, High-Dimensional, and Multivariate Data Sets, June 2014
Springer
Ebeida:2014:KDS k-d Darts: Sampling by k-Dimensional Flat Searches
Mohamed S. Ebeida, Anjul Patney, Scott A. Mitchell, Keith R. Dalbey, Andrew A. Davidson, and John D. Owens
ACM Transactions on Graphics
ACM arXiv

2013

Patney:2013:PGP Programmable Graphics Pipelines
Anjul Patney
Ph.D. Dissertation, University of California at Davis
PDF

2012

Tzeng:2012:HPD High-Quality Parallel Depth-of-Field Using Line Samples
Stanley Tzeng, Anjul Patney, Andrew A. Davidson, Mohamed S. Ebeida, Scott A. Mitchell, and John D. Owens
High-Performance Graphics, June 2012
ACM Slides
Ebeida:2012:ASA A Simple Algorithm for Maximal Poisson-Disk Sampling in High Dimensions
Mohamed S. Ebeida, Scott A. Mitchell, Anjul Patney, Andrew A. Davidson, and John D. Owens
Computer Graphics Forum
ACM Slides Fast-Forward

2011

Ebeida:2011:EAG Efficient and Good Delaunay Meshes From Random Points
Mohamed S. Ebeida, Scott A. Mitchell, Andrew A. Davidson, Anjul Patney, Patrick M. Knupp, and John D. Owens
SIAM Conference on Geometric and Physical Modeling (GD/SPM11), October 2011
DOI Slides
Ebeida:2011:EMP Efficient Maximal Poisson-Disk Sampling
Mohamed S. Ebeida, Anjul Patney, Scott A. Mitchell, Andrew Davidson, Patrick M. Knupp, and John D. Owens
ACM Transactions on Graphics (SIGGRAPH)
ACM Preprint Slides Fast-Forward
Ebeida:2010:ICR Isotropic Conforming Refinement of Quadrilateral and Hexahedral Meshes using Two-Refinement Templates
Mohamed S. Ebeida, Anjul Patney, John D. Owens, and Eric Mestreau
International Journal for Numerical Methods in Engineering, 2011
DOI

2010

Patney:2010:FPC Fragment-Parallel Composite and Filter
Anjul Patney, Stanley Tzeng, and John D. Owens
Computer Graphics Forum (EGSR 2010)
DOI Slides
Tzeng:2010:TMF Task Management for Irregular-Parallel Workloads on the GPUHPG Test-of-Time Award
Stanley Tzeng, Anjul Patney, and John D. Owens
High Performance Graphics 2010
ACM Slides

2009

Patney:2009:RRA Real-Time Reyes: Analysis of a Programmable Rendering Pipeline
November 2009: Talk at Crytek Conference, Frankfurt, Germany
Slides
Patney:2009:PVT Parallel View-Dependent Tessellation of Catmull-Clark Subdivision Surfaces
Anjul Patney, Mohamed S. Ebeida, and John D. Owens
High Performance Graphics 2009
ACM Preprint Slides Video

2008

Patney:2008:RRP Real-Time Reyes: Programmable Pipelines and Research Challenges
Course-talk at SIGGRAPH Asia 2008, Singapore
Slides
Patney:2008:RRA Real-Time Reyes-Style Adaptive Surface Subdivision
Anjul Patney and John D. Owens
ACM Transactions on Graphics (SIGGRAPH Asia): ACM Preprint Slides Video
Talk at UC Berkeley Graphics Lunch: Slides
Talk at Microsoft Research: Slides
Silpa:2008:TFM Texture Filter Memory - A Power-efficient and Scalable Texture Memory Architecture for Mobile Graphics Processors
B. V. N. Silpa, Anjul Patney, Tushar Krishna, Preeti Ranjan Panda, and G. S. Visweswaran
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), November 2008
IEEE Xplore ACM
Silberstein:2008:ECO Efficient computation of sum-products on GPUs through software-managed cache
Mark Silberstein, Assaf Schuster, Dan Geiger, Anjul Patney, and John D. Owens
ACM International Conference on Supercomputing, June 2008
ACM Preprint

 

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