Research Interests
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I am broadly interested in computer graphics & displays, VR/AR, psychophysics, high dynamic range, color, image quality, applications of AI, and more. My thesis work focuses on developing algorithms for optimizing immersive displays, especially by leveraging data from studies of human perception and visual psychophysics.
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Education
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New York University
PhD in Computer Science
MS in Computer Science
Supervised by Prof. Qi Sun
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2023 - Present
2021 - 2023
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University of California, Berkeley
BA in Computer Science
Supervised by Prof. Carlo Sequin
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2017 - 2021
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Publications (*=equal contribution)
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Adapting Quality Metrics to Tone Mapping
Chen,
Kim,
Asano,
Chapiro,
Sun,
Mantiuk
ACM SIGGRAPH 2026
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2026
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Dichoptic Foveation
Kam,
Groth,
Kang,
Saraf,
Sun,
Chen
ACM SIGGRAPH 2026
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Dynamic Visual Dominance in Stereoscopic Foveation
Jiménez Navarro,
Groth,
Chen,
Sun,
Myszkowski,
Seidel,
Serrano
ACM SIGGRAPH 2026
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Cost-Aware Routing for Efficient Text-To-Image Generation
Li,
Chen,
Su,
Jitkrittum,
Sun,
Sangkloy
TMLR 2026
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ML-PEA: Machine Learning-Based Perceptual Algorithms for Display Power Optimization
Chen,
Matsuda,
Wan,
Ninan,
Chapiro,
Sun
Eurographics 2026
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Perceptual Impact of Peak Luminance and Contrast in Direct View HDR Display
Chen*,
Zhang*,
Sun,
Chapiro
IS&T HVEI 2026
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Perceptually Guided 3DGS Streaming and Rendering for Virtual Reality
Zhang*,
Mupparaju*,
Chen,
Kang,
Zhang,
Omori,
Arimatsu,
Sun
IEEE/CVF WACV 2026
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GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts
Kang,
Sangkloy,
Silva,
Chen,
Williams,
Sun
IEEE/CVF WACV 2026
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What is HDR? Perceptual Impact of Luminance and Contrast in Immersive Displays
Chen,
Matsuda,
McElvain,
Zhao,
Wan,
Sun†,
Chapiro†
ACM SIGGRAPH 2025
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2025
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Image-GS: Content-Adaptive Image Representation via 2D Gaussians
Zhang*,
Li*,
Kuznetsov,
Jindal,
Diolatzis,
Chen,
Sochenov,
Kaplanyan,
Sun
ACM SIGGRAPH 2025
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View Synthesis for 3D Computer-Generated Holograms Using Deep Neural Fields
Chen,
Wen,
Zhang,
Chakravarthula,
Sun
Optics Express 2025
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Process Only Where You Look: Hardware and Algorithm Co-optimization for Efficient Gaze-Tracked Image Rendering in Virtual Reality
Wang,
Liu,
Chen,
Sun,
Zhang
ACM/IEEE ISCA 2025
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Perceptually-Guided Acoustic ``Foveation''
Peng,
Chen,
Roman,
Bello,
Sun†,
Chakravarthula†
IEEE VR 2025
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PEA-PODs: Perceptual Evaluation of Algorithms for Power Optimization in XR Displays
Chen,
Wan,
Matsuda,
Ninan,
Chapiro†,
Sun†
ACM SIGGRAPH 2024
Best Paper Award (Honorable Mention)
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2024
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Exploiting Human Color Discrimination for Memory- and Energy-Efficient Image Encoding in Virtual Reality
Ujjainkar,
Shahan,
Chen,
Duinkharjav,
Sun,
Zhu
ACM ASPLOS 2024
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Toward Optimized VR/AR Ergonomics: Modeling and Predicting User Neck Muscle Contraction
Zhang,
Chen,
Sun
ACM SIGGRAPH 2023
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2023
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Color-Perception-Guided Display Power Reduction for Virtual Reality
Duinkharjav*,
Chen*,
Tyagi,
He,
Zhu†,
Sun†
ACM SIGGRAPH Asia 2022
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2022
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Posters/Demos (*=equal contribution)
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Limits of Visual Saliency Models for AI-Generated Videos
Kang,
Williams,
Silva,
Chen,
Sangkloy,
Sun
JOV 2026
| Poster at Vision Sciences Society
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2026
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BlendFusion: Procedural 3D Texturing Assistant with View-Consistent Generative Models
Li,
Torrens,
Chen,
Sun
ACM I3D 2025
Best Poster Award
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2025
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Towards Learning and Generating Audience Motion from Video
Chen,
Badler
ACM SCA 2023
| Poster
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2023
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Imperceptible Color Modulation for Power Saving in VR/AR
Chen,
Duinkharjav,
Ujjainkar,
Shahan,
Tyagi,
He,
Zhu,
Sun
ACM SIGGRAPH 2023
| Emerging Technologies Demo
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Employment
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Adobe | Research Scientist Intern
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May 2026 - August 2026
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University of Cambridge | Visiting Student
mentored by Prof. Rafał Mantiuk.
- Worked on quality metrics for tone mapping.
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June 2025 - August 2025
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Meta Reality Labs | Research Scientist Intern
mentored by Dr. Alexandre Chapiro.
- Studied/modeled contrast and luminance preferences in HDR displays.
- Developed perceptual tone mapping algorithms for HDR video.
- Resulted in a SIGGRAPH 2025 paper.
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June 2024- January 2025
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Meta Reality Labs | Research Scientist Intern
mentored by Dr. Alexandre Chapiro.
- Studied the perceptual impact of different display power optimization algorithms in a VR setting.
- Measured and modelled power consumption of the Quest Pro display.
- Resulted in a SIGGRAPH 2024 journal paper which won a best paper award, honorable mention.
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June 2023 - January 2024
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Cesium | Research Scientist Intern
supervised by Prof. Norman I. Badler.
- Resulted in a poster presentation at SCA 2023.
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June 2022 - August 2022
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Talks
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Perceptually-Inspired Algorithms for Power Optimization in XR Displays
High-Beams Seminar | University College London (Remote)
Invited by Prof. Kaan Akşit
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2024
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PEAPODs: Perceptual Evaluation of Algorithms for Power Optimization in XR Displays
SIGGRAPH 2024 | Denver, Colorado
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2024
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Color-Perception-Guided Display Power Reduction for Virtual Reality
SIGGRAPH Asia 2022 | Daegu, South Korea
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2022
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Teaching
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CS-GY 9223: Virtual and Augmented Reality
New York University, Course Assistant
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Fall 2024
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CS-GY 6313: Data Visualization
New York University, Course Assistant
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Spring 2023, 2025
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CS-GY 6533 A: Interactive Computer Graphics
New York University, Course Assistant
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Fall 2021
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CS 184: Computer Graphics & Imaging
UC Berkeley, Undergraduate Student Instructor
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Spring 2021
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CS 194-26: Intro to Computer Vision and Computational Photography
UC Berkeley, Group Tutor & Reader
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Fall 2020
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Awards & Honors
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Deborah Rosenthal, MD Award, NYU
For outstanding performance on the PhD qualification exam.
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2025
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U.S. DoE Graduate Assistance in Areas of National Need Fellowship (GAANN), NYU
Scholarship to cover tuition and fees, as well as program stipend.
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2024
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Best Paper Award (Honorable Mention), SIGGRAPH 2024
For the paper “PEA-PODs: Perceptual Evaluation of Algorithms for Power Optimization in XR Displays”.
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2024
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Tandon School of Engineering PhD Fellowship, NYU
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2023
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Graduate Scholarship, NYU
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2021
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CS184 Computer Graphics Final Project Showcase Winner, NYU
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2020
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