Or Patashnik

I am a Computer Science PhD student at Tel-Aviv University, under the supervision of Daniel Cohen-Or.

I am interested in machine learning, computer graphics, and computer vision. Specifically, I am working on projects that involve image generation and manipulation.

In the summer of 2023, I had the incredible opportunity to work with Fernando De la Torre and Jun-Yan Zhu at Carnegie Mellon University.

Publications

2025

Sharp-It: A Multi-view to Multi-view Diffusion Model for 3D Synthesis and Manipulation Yiftach Edelstein, Or Patashnik, Dana Cohen-Bar, Lihi Zelnik-Manor CVPR, 2025 paper page
Omni-ID: Holistic Identity Representation Designed for Generative Tasks Guocheng Qian, Kuan-Chieh Wang, Or Patashnik, Negin Heravi, Daniil Ostashev, Sergey Tulyakov, Daniel Cohen-Or, Kfir Aberman CVPR, 2025 paper page
Stable Flow: Vital Layers for Training-Free Image Editing Omri Avrahami, Or Patashnik, Ohad Fried, Egor Nemchinov, Kfir Aberman, Dani Lischinski, Daniel Cohen-Or CVPR, 2025 paper page

2024

MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors Yehonathan Litman, Or Patashnik, Kangle Deng, Aviral Agrawal, Rushikesh Zawar, Fernando De la Torre, Shubham Tulsiani 3DV, 2025 paper page
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
ReNoise: Real Image Inversion Through Iterative Noising Daniel Garibi, Or Patashnik, Andrey Voynov, Hadar Averbuch-Elor, Daniel Cohen-Or ECCV, 2024 paper page
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation Omer Dahary, Or Patashnik, Kfir Aberman, Daniel Cohen-Or ECCV, 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

2023

Cross-Image Attention for Zero-Shot Appearance Transfer Yuval Alaluf^*, Daniel Garibi^*, Or Patashnik, Hadar Averbuch-Elor, Daniel Cohen-Or SIGGRAPH, 2024 paper page
CLiC: Concept Learning in Context Mehdi Safaee, Aryan Mikaeili, Or Patashnik, Daniel Cohen-Or, Ali Mahdavi-Amiri CVPR, 2024 paper
Noise Free Score Distillation Oren Katzir^*, Or Patashnik^*, Daniel Cohen-Or, Dani Lischinski ICLR, 2024 paper page
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models Or Patashnik, Daniel Garibi, Idan Azuri, Hadar Averbuch-Elor, Daniel Cohen-Or ICCV, 2023 paper page
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or CVPR, 2023 paper page

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 (Oral) paper page
Third Time’s the Charm? Image and Video Editing with StyleGAN3 Yuval Alaluf^*, Or Patashnik^*, Zongze Wu, Asif Zamir, Eli Shechtman, Dani Lischinski, Daniel Cohen-Or ECCV Workshop, 2022 paper page
FEAT: Face Editing with Attention Xianxu Hou, Linlin Shen, Or Patashnik, Daniel Cohen-Or, Hui Huang paper
State-of-the-Art in the Architecture, Methods and Applications of StyleGAN Amit Bermano, Rinon Gal, Yuval Alaluf, Ron Mokady, Yotam Nitzan, Omer Tov, Or Patashnik, Daniel Cohen-Or EUROGRAPHICS, 2022 (STARs) paper

2021

StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators Rinon Gal, Or Patashnik, Haggai Maron, Gal Checik, Daniel Cohen-Or SIGGRAPH, 2022 paper page
StyleFusion: A Generative Model for Disentangling Spatial Segments Omer Kafri, Or Patashnik, Yuval Alaluf, Daniel Cohen-Or ACM TOG, 2022 paper
ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement Yuval Alaluf, Or Patashnik, Daniel Cohen-Or ICCV, 2021 paper page
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery Or Patashnik^*, Zongze Wu^*, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski ICCV, 2021 (Oral) paper page
Designing an Encoder for StyleGAN Image Manipulation Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, Daniel Cohen-Or SIGGRAPH, 2021 paper page
Only a Matter of Style: Age Transformation Using a Style-Based Regression Model Yuval Alaluf, Or Patashnik, Daniel Cohen-Or SIGGRAPH, 2021 paper page

2020

BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or CVPR Workshop, 2021 paper page
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or CVPR, 2021 paper page
Temporal Scatterplots Or Patashnik, Min Lu, Amit Bermano, Daniel Cohen-Or Computational Visual Media, 2020 (Honorable Mention) paper

Talks

Mar 19, 2022	SparkFX Conference: “Leveraging StyleGAN for Image Editing and Manipulation”
Dec 13, 2021	CtrlGen NeurIPS Workshop: “Generating and Editing Images Using StyleGAN and CLIP”
Oct 26, 2021	IMVC 2021: “StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery”
Oct 20, 2021	Woman in AI Israel Workshop: “Leveraging StyleGAN for Image Editing and Manipulation” (video).
Mar 8, 2021	WIDS - “Encoding in Style” (video).
Dec 13, 2020	Israel Vision Day - BalaGAN (video).

Seminar Talks

June 28, 2022	General Motors Israel Research: "Leveraging StyleGAN for Image Editing and Manipulation"
June 26, 2022	Amazon AWS Israel Research Group: "Leveraging StyleGAN for Image Editing and Manipulation"
June 14, 2022	Microsoft Israel AI Team: "Leveraging StyleGAN for Image Editing and Manipulation"
Jan 13, 2022	Cutting Edge AI in Healthcare (by Sheba): "Leveraging GANs for Image Editing and Manipulation"
Dec 14, 2021	Lightricks: “Leveraging StyleGAN for Image Editing and Manipulation”
Dec 9, 2021	Weizmann Institute: “Leveraging StyleGAN for Image Editing and Manipulation”
Nov 17, 2021	Carnegie Mellon University: “Leveraging StyleGAN for Image Editing and Manipulation”
Sep 29, 2021	Stanford University: “Leveraging StyleGAN for Image Editing and Manipulation”
Aug 11, 2021	SFU: “Recent Advancements in GAN Inversion”
Jun 29, 2021	Adobe Research: “Recent Advancements in GAN Inversion”
Mar 5, 2021	PKU: “StyleGAN: Analysis, Inversion, and Applications”
Feb 24, 2021	Shenzhen University: “StyleGAN: Analysis, Inversion, and Applications”
Nov 24, 2020	CITYU: “StyleGAN: Analysis, Inversion, and Applications”
Aug 18, 2020	PKU: "Transfer Learning"