Rinon Gal

I am 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, both 3D and 2D, with a focus on reducing supervision.

Currently spending my summer at NVIDIA Research, working with Gal Chechik and Haggai Maron.

Publications

" 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
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 1, 2021

ICCV 2021 - Outstanding Reviewer Award

Talks

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