Rinon Gal

I am a research scientist at NVIDIA Research and a Computer Science PhD student at Tel-Aviv University, under the supervision of Daniel Cohen-Or and Amit Bermano.

My main topic of research is generative models, with a focus on reducing supervision, model personalization and consistent generation.

Publications

TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models Gilad Deutch, Rinon Gal, Daniel Garibi, Or Patashnik, Daniel Cohen-Or SIGGRAPH Asia, 2024. Paper Page
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. Paper Page
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 ECCV, 2024. Paper Page Code
ConsiStory: Training-Free Consistent Text-to-Image Generation Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal Chechik, Yuval Atzmon SIGGRAPH, 2024. Paper Page Code
Breathing Life Into Sketches Using Text-to-Video Priors Rinon Gal*, Yael Vinker*, Yuval Alaluf, Amit H Bermano, Daniel Cohen-Or, Ariel Shamir, Gal Chechik CVPR, 2024 (Spotlight). Paper Page Code
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 H Bermano SIGGRAPH Asia, 2023. Paper Page
Key-Locked Rank One Editing for Text-to-Image Personalization Yoad Tewel, Rinon Gal, Gal Chechik, Yuval Atzmon SIGGRAPH, 2023. Paper Page
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. Paper Page
Cross-domain Compositing with Pretrained Diffusion Models Roy Hachnochi, Rinon Gal, Mingrui Zhao, Nadav Orzech, Ali Mahdavi-Amiri, Daniel Cohen-Or, Amit H Bermano Paper Code
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 (Oral). Paper Page Code
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations Niv Cohen, Rinon Gal, Eli A Meirom, Gal Chechik, Yuval Atzmon ECCV, 2022 (Oral). Paper Code
State-of-the-Art in the Architecture, Methods and Applications of StyleGAN Amit H Bermano, Rinon Gal, Yuval Alaluf, Ron Mokady, Yotam Nitzan, Omer Tov, Or Patashnik, Daniel Cohen-Or Eurographics, 2022 (STARs). Paper
Stitch it in Time: GAN-Based Facial Editing of Real Videos Rotem Tzaban, Ron Mokady, Rinon Gal, Amit H. Bermano, Daniel Cohen-Or SIGGRAPH Asia, 2022. Paper Page Code
Self-Conditioned Generative Adversarial Networks for Image Editing Yunzhe Liu, Rinon Gal, Amit H Bermano, Baoquan Chen, Daniel Cohen-Or SIGGRAPH, 2022. Paper Code
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing Yuval Alaluf*, Omer Tov*, Ron Mokady, Rinon Gal, Amit H. Bermano CVPR, 2022. Paper Page Code
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or SIGGRAPH, 2022. Paper Page Code
LARGE: Latent-Based Regression through GAN Semantics Yotam Nitzan*, Rinon Gal*, Ofir Brenner, Daniel Cohen-Or CVPR, 2022. Paper Page Code
SWAGAN: A Style-based Wavelet-driven Generative Model Rinon Gal, Dana Cohen Hochberg, Amit H. Bermano, Daniel Cohen-Or SIGGRAPH, 2021. Paper Code
Cardinal Graph Convolution Framework for Document Information Extraction Rinon Gal, Shai Ardazi, Roy Shilkrot DocEng, 2020. Paper
MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement Rinon Gal, Amit Bermano, Hao Zhang, Daniel Cohen-Or ICCV Workshop, 2021. Paper
Visual-linguistic methods for receipt field recognition Rinon Gal, Nimrod Morag, Roy Shilkrot ACCV, 2018. Paper

Patents

Systems and methods for neuronal visual-linguistic data retrieval from an imaged document Amos Simantov, Roy Shilkrot, Nimrod Morag, Rinon Gal Patent

Awards

Sep 25, 2024	ECCV 2024 - Outstanding Reviewer Award
Aug 10, 2023	SIGGRAPH 2023 Scavanger Hunt, 1ˢᵗ Place :)
Jun 6, 2023	Blavatnik Prize for Outstanding PhD Students in Computer Science
Jun 9, 2022	Benny Schor Award for Excellence in Teaching
Apr 22, 2022	ICLR 2022 - Highlighted Reviewer Award
Sep 1, 2021	ICCV 2021 - Outstanding Reviewer Award

Talks

Feb 9, 2023	The AI Talks, NTU, Singapore
Dec 5, 2022	KAIST Geometric and Visual Computing Workshop
Nov 22, 2022	MIT MAS.S66: Generative Methods for Creative Applications
Oct 26, 2022	Meta Reality Labs Seattle Reading Group: “StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators”
Apr 1, 2022	MIT Media Lab, Design Intelligence: “Leveraging StyleGAN for Image Editing and Manipulation”
Mar 20, 2022	BIU Vision Seminar: “StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators”
Jan 16, 2022	Israel Computer Vision Day 2021: “Generating and Editing Images using StyleGAN and CLIP”
Nov 30, 2021	CMU Graphics Seminar: “StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators”
Nov 28, 2021	HUJI Graphics and Vision Seminar: “StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators”
Nov 22, 2021	Cornell Graphics and Vision Seminar: “StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators”
Nov 2, 2021	Adobe bi-weekly reading group: “StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators”
Oct 27, 2021	DGP and Vector Institute Seminar: “StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators”
Oct 25, 2021	City University of Hong Kong Graphics Seminar: “StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators”
Sep 29, 2020	The 20th ACM Symposium on Document Engineering: “Cardinal Graph Convolution Framework for Document Information Extraction”
Sep 11, 2020	Shenzhen University computer graphics group seminar: “Unsupervised 3D Content Generation via Inductive Bias”
Dec 3, 2018	Workshop on Combining Vision and Language (ACCV 2018), invited talk.

Publications

Patents

Awards

Talks

Contact Me