| CARVIEW |
Select Language
HTTP/2 200
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Sun, 28 Dec 2025 11:11:40 GMT
access-control-allow-origin: *
etag: W/"6951106c-14c83"
expires: Tue, 30 Dec 2025 17:55:29 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: B79C:444BC:A679DC:BAD1E7:69540FB9
accept-ranges: bytes
age: 0
date: Tue, 30 Dec 2025 17:45:29 GMT
via: 1.1 varnish
x-served-by: cache-bom-vanm7210060-BOM
x-cache: MISS
x-cache-hits: 0
x-timer: S1767116729.123298,VS0,VE210
vary: Accept-Encoding
x-fastly-request-id: 68d38ebe548fc4c0bcf2d07da939e8bd91bcffda
content-length: 12944
Viraj Shah
paper
paper | project page | code
paper | project page | code
paper | project page
paper
Viraj Shah
Research Scientist, Google
I am Research Scientist at Google in Computational Imaging team. Previously, I earned PhD from UIUC where I worked with Dr. Svetlana Lazebnik on Generative Models and Computer Vision.
RESUME
GOOGLE SCHOLAR
EMAIL
PROJECTS
I am open to collaboration opportunities broadly in the area of generative models/diffusion models/image editing. Our team at Google may also have internship openings for Ph.D. students time to time. Feel free to write me an email if you're interested!
I am Research Scientist at Google in Computational Imaging team. I obtained my PhD in Electrical Engineering at University of Illinois, Urbana-Champaign where I worked with Dr. Svetlana Lazebnik on Generative Models.
I mainly work on leverage novel Generative Models such as Diffusion Models and GANs in solving image manipulation and imaging inverse problems. Please check out the Projects and Publications section, or my resume to learn more!
Previously, I completed B.Tech. in EE from IIT Roorkee in 2016 and joined PhD program at Iowa State University where I earned MS in ECE before transferring to UIUC. At ISU, I worked at DICE Lab with Dr. Chinmay Hegde.
Throughout the course of my studies, I have had the privilege of working with and receiving guidance from amazing researchers and teams:
- Varun Jampani, Nataniel Ruiz, and Yuanzhen Li at Google
- David Forsyth at UIUC
- Julien Philip at Adobe
- Qianli Feng, Raghudeep Gadde, and Aleix Martinez at Amazon
- Narendra Ahuja at UIUC
- Mariappan Nadar at Siemens
- Chinmay Hegde at Iowa State University (now at NYU)
- Gopinantha Pillai at IIT Roorkee
News
Serving as Area Chair for CVPR, 2026
Serving as Area Chair for WACV, 2026
UnZipLoRA has been accepted to ICCV, 2025!
I joined Google as a Research Scientist in Computational Imaging team!
StreetTryOn received Best Paper Award at CVFAD Workshop at CVPR, 2024!
ZipLoRA has been accepted to ECCV, 2024!
JoIN has been accepted to TMLR!
Upcoming Talk: at Google Research, March 2024
Upcoming Talk: at Indian Institute of Technology, Gandhinagar, Dec. 2023
Upcoming Talk: at University of Tübingen, Autonomous Vision Group, Nov. 2023
I am a recipient of DAAD AInet Fellowship for 2023 cohort in Generative Models and Machine Learning.
I am a recipient of Mavis Future Faculty Fellowship (for 2023-24) at UIUC.
I am a recipient of Joan and Lalit Bahl Fellowship (for 2023-24) at ECE Department, UIUC.
For Spring and Summer 2023, I am working at Google Research as a Student Researcher!
For Summer 2022, I am working at Adobe in San Jose as Research Intern!
For Summer 2021, I am working at Amazon in Seattle as Applied Science Intern!
I am a recipient of James M. Henderson Fellowship (for 2020-21) at ECE Department, UIUC.
Awarded the second prize in the Open Data Challenge 2019 at MRS Spring meeting!
Awarded departmental fellowship by ECpE department at ISU.
Projects & Publications
Generative Models
New!
Reference-Guided Identity Preserving Face Restoration
Mo Zhou, Keren Ye, Viraj Shah, Kangfu Mei, Mauricio Delbracio, Peyman Milanfar, Vishal M. Patel, Hossein Talebipaper
Accepted to ICCV 2025!
UnZipLoRA: Separating Content and Style from a Single Image
Chang Liu, Viraj Shah, Aiyu Cui, Svetlana Lazebnikpaper | project page | code
Accepted to ECCV 2024!
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs
Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun JampaniECCV, 2024
paper
| project page
| poster
Best Paper Award at CVFAD Workshop, CVPR 2024!
Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Images
Aiyu Cui, Jay Mahajan, Viraj Shah, Preeti Gomathinayagam, Svetlana LazebnikWACV, 2025
CVFAD Workshop, CVPR, 2024
paper
| project page
| video
| poster
CVFAD Workshop, CVPR, 2024
Accepted to TMLR!
JoIN: Joint GANs Inversion for Intrinsic Image Decomposition
Viraj Shah, Svetlana Lazebnik, Julien PhilipTMLR, 2024
paper
| project page
MultiStyleGAN: Multiple One-shot Image Stylizations using a Single GAN
Viraj Shah, Ayush Sarkar, Sudharsan Krishna, Svetlana Lazebnikpaper | project page | code
Make It So: Steering StyleGAN for Any Image Inversion and Editing
Anand Bhattad, Viraj Shah, Derek Hoiem, David A. Forsythpaper | project page
Encoding Invariances in Deep Generative Models
Viraj Shah*, Ameya Joshi*, Sambuddha Ghosal, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegdepaper
Generative Models for Solving Nonlinear Partial Differential Equations
Ameya Joshi*, Viraj Shah*, Sambuddha Ghosal, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay HegdeMLPS Workshop, NeurIPS, 2019
paper
Imaging Inverse Problems
Miscellaneous
Hybrid Deep Learning Model for Predicting Failure Properties of Asphalt Binder from Fracture Surface Images
Babak Asadi, Viraj Shah, Abhilash Vyas, Mani Golparvar‐Fard, Ramez HajjComputer‐Aided Civil and Infrastructure Engineering, 2025
paper
CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data
Kalina Borkiewicz, Viraj Shah, JP Naiman, Chuanyue Shen, Stuart Levy, Jeff CarpenterVIS, 2021
paper
Quantifying Driver Speed Behavior from Real-time Physiology in Type 1 Diabetes
Viraj Shah, Jennifer Merickel, Pranamesh Charkraborty, Anuj Sharma, Chinmay Hegde,..., Matt RizzoFast-ZERO, 2019
paper