Rinon Gal | Research

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

Main Field of Interest

Artificial Intelligence and Machine Learning

Google Scholar

https://scholar.google.com/citations?user=928yXx4AAAAJ

Publications

2024

TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models

Gilad Deutch, Rinon Gal, Daniel Garibi, Or Patashnik, Daniel Cohen-Or

SIGGRAPH Asia 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

LCM-Lookahead for Encoder-based Text-to-Image Personalization

Rinon Gal, Or Lichter, Elad Richardson, Or Patashnik, Amit H Bermano, Gal Chechik, Daniel Cohen-Or

Consolidating Attention Features for Multi-view Image Editing

Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre

SIGGRAPH Asia 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

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

Key-Locked Rank One Editing for Text-to-Image Personalization

Yoad Tewel, Rinon Gal, Gal Chechik, Yuval Atzmon

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

2022

"This is my unicorn, Fluffy": Personalizing frozen vision-language representations

Niv Cohen, Rinon Gal, Eli Meirom, Gal Chechik, Yuval Atzmon

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

Top 25%

StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators

Rinon Gal, Or Patashnik, Haggai Maron, Amir Bermano, Gal Chechik, Daniel Cohen-Or

"This is my unicorn, Fluffy": Personalizing frozen vision-language representations

Niv Cohen, Rinon Gal, Gal Chechik, Yuval Atzmon

Oral