Bio

I lead a product-oriented research team in AI for Experiences (AI4EX) at NVIDIA. Our research is centered around AI, computer graphics, and visual perception. My work has led to advances in deep learning for real-time graphics (co-developed DLSS 4, Project G-Assist, RTX HDR, RTX Dynamic Vibrance, and DLSS 1.0), perceptual metrics for image quality (FovVideoVDP), foveated rendering for VR, and redirected walking in VR.

Previously, I was a Principal Research Scientist at NVIDIA (2021–2023), a Research Scientist at Facebook Reality Labs (2019–2021), and a Research Scientist and later 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.

I also track SIGGRAPH trends.

Publications & Presentations

2026

SDR-to-HDR result and neural filtering pipeline Real-Time Neural Filtering for Perceptual Enhancement of Digital ExperiencesInvited Paper
Anjul Patney, Shaveen Kumar, Ariel Bernal, Amrita Mazumdar, Eric Xu, Kumaresan Gnanasekaran, Andrew Russell, Don Brittain
SID Symposium Digest of Technical Papers
Paper Slides
Consistent video edit frames and adaptive feature cache diagram SmoothDiffusion-VE: Real-time Generative Video Editing Using Adaptive Feature Cache
Mustafa Munir, Sophia Zalewski, Shiqiu Liu, David Tarjan, Sushmitha Belede, Anjul Patney, Radu Marculescu
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Paper PDF

2025

Detection of artifacts in clean and corrupted video pairs is influenced by artifact type and presentation modality
Niall L. Williams, Anatolii Evdokimov, Budmonde Duinkharjav, Anjul Patney, Qi Sun, Jae-Hyun Jung, Ruth Rosenholtz
Journal of Vision 25(9), VSS abstract 2256
JOV

2023

The Shortest Route Is Not Always the Fastest: Probability-Modeled Stereoscopic Eye Movement Completion Time in VR
Budmonde Duinkharjav, Benjamin Liang, Anjul Patney, Rachel Brown, Qi Sun
ACM Transactions on Graphics 42(6) (SIGGRAPH Asia)
Project Preprint
Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection
Yazhou Xing, Amrita Mazumdar, Anjul Patney, Chao Liu, Hongxu Yin, Qifeng Chen, Jan Kautz, Iuri Frosio
arXiv:2308.15462
arXiv
Power, Performance, and Image Quality Tradeoffs in Foveated Rendering
Rahul Singh, Muhammad Huzaifa, Jeffrey Liu, Anjul Patney, Hashim Sharif, Yifan Zhao, Sarita Adve
IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
IEEE Preprint

2022

Modeling and Optimizing Human-in-the-Loop Visual Perception Using Immersive Displays: A ReviewInvited Paper
Qi Sun, Budmonde Duinkharjav, Anjul Patney
SID Symposium Digest of Technical Papers
SID Preprint
Image Features Influence Reaction Time: A Learned Probabilistic Perceptual Model for Saccade LatencyBest Paper Award
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
FOVQA: Blind Foveated Video Quality Assessment
Yize Jin, Anjul Patney, Richard Webb, Alan C. Bovik
IEEE Transactions on Image Processing 31, 4571–4584
IEEE Preprint

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
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

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
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
Varifocal optical ray path and wearable prototype Varifocal Virtuality: A Novel Optical Layout for Near-Eye Display
Kaan Akşit, Ward Lopes, Jonghyun Kim, Josef Spjut, Anjul Patney, Peter Shirley, David Luebke, Steven A. Cholewiak, Pratul P. Srinivasan, Ren Ng, Martin S. Banks, Gordon D. Love
ACM SIGGRAPH 2017 Emerging Technologies
ACM PDF
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

Poisson-disk exclusion, dart sampling, and mesh generation 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 PipelinesZuhair A. Munir Award Honorable Mention
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 Preprint Fast-Forward

2011

Adaptive screen tiling around rendered geometry Efficient Adaptive Tiling for Programmable Rendering
Stanley Tzeng, Anjul Patney, John D. Owens
ACM Symposium on Interactive 3D Graphics and Games (I3D), Poster Abstract
ACM
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
Computer-Aided Design 43(11), 1506–1515
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 GPU2019 HPG 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
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