Or Patashnik
I am a Computer Science PhD student at Tel-Aviv University, under the supervision of Daniel Cohen-Or.
I will graduate this summer and will be joining the School of Computer Science at Tel Aviv University as a Senior Lecturer (Assistant Professor).
My research lies at the intersection of computer graphics, computer vision, and machine learning, with a focus on generative models. I work on image and video generation, semantic editing, and personalization, driven by the goal of making visual content creation more controllable and expressive. I aim to develop methods that reliably capture user intent, enabling fine-grained control in both manipulating real images and generating new visual content.
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
- Nested Attention: Semantic-aware Attention Values for Concept Personalization SIGGRAPH, 2025 paper page
2024
- State-of-the-Art in the Architecture, Methods and Applications of StyleGAN EUROGRAPHICS, 2022 (STARs) paper
2023
2022
2021
2020
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"