People

Rinon Gal

Rinon joined NVIDIA Research as an intern in June 2021 and has since been with the company. 

His research focuses on 2D generative models and their application to image and video editing. More recently, Rinon has been working on personalization of text-to-image models, where he aims to efficiently teach models how to generate images of unseen, user-provided concepts.

Research Area(s)
Artificial Intelligence and Machine Learning
Computer Graphics
Computer Vision
Generative AI
Main Field of Interest
Artificial Intelligence and Machine Learning
Google Scholar
https://scholar.google.com/citations?user=928yXx4AAAAJ

Publications

2024

Breathing Life Into Sketches Using Text-to-Video Priors
Rinon Gal, Yael Vinker, Yuval Alaluf, Amit Bermano, Daniel Cohen-Or, Ariel Shamir, Gal Chechik
CVPR 2024

2023

Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models
Moab Arar, Rinon Gal, Yuval Atzmon, Gal Chechik, Daniel Cohen-Or, Ariel Shamir, Amit Bermano
SIGGRAPH Asia 2023
Key-Locked Rank One Editing for Text-to-Image Personalization
Yoad Tewel, Rinon Gal, Gal Chechik, Yuval Atzmon
SIGGRAPH 2023
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
Rinon Gal, Moab Arar, Yuval Atzmon, Amit Bermano, Gal Chechik, Daniel Cohen-Or
SIGGRAPH 2023
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
Rinon Gal, Moab Arar, Yuval Atzmon, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or
SIGGRAPH 2023

2022

"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
Niv Cohen, Rinon Gal, Eli Meirom, Gal Chechik, Yuval Atzmon
ECCV 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or
ICLR 2023
Top 25%
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
Rinon Gal, Or Patashnik, Haggai Maron, Amir Bermano, Gal Chechik, Daniel Cohen-Or
SIGGRAPH 2022
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
Niv Cohen, Rinon Gal, Gal Chechik, Yuval Atzmon
ECCV 2022
Oral