I recently joined the School of Computer Science at Tel Aviv University as a Senior Lecturer (equivalent to 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.

I did my PhD in Computer Science at Tel-Aviv University, under the supervision of Daniel Cohen-Or.

Publications

2026

  1. Prox-E: Fine-Grained 3D Shape Editing via Primitive-Based Abstractions Etai Sella, Hao Phung, Nitay Amiel, Or Litany, Or Patashnik, Hadar Averbuch-Elor SIGGRAPH, 2026 paper page
  2. Continuous Control of Editing Models via Adaptive-Origin Guidance Alon Wolf, Chen Katzir, Kfir Aberman, Or Patashnik SIGGRAPH, 2026 paper page
  3. JUST-DUB-IT: Video Dubbing via Joint Audio-Visual Diffusion Anthony Chen, Naomi Ken Korem, Tavi Halperin, Matan Ben Yosef, Urska Jelercic, Ofir Bibi, Or Patashnik, Daniel Cohen-Or, SIGGRAPH, 2026 paper page
  4. LooseRoPE: Content-aware Attention Manipulation for Semantic Harmonization Etai Sella, Yoav Baron, Hadar Averbuch-Elor Daniel Cohen-Or, Or Patashnik SIGGRAPH, 2026 paper page
  5. SemanticMoments: Training-Free Motion Similarity via Third Moment Features Saar Huberman, Kfir Goldberg, Or Patashnik, Sagie Benaim, Ron Mokady CVPR (Findings), 2026 paper page
  6. Kontinuous Kontext: Continuous Strength Control for Instruction-based Image Editing Rishubh Parihar, Or Patashnik, Daniil Ostashev, R. Venkatesh Babu, Daniel Cohen-Or, Kuan-Chieh Wang CVPR, 2026 paper page
  7. Visual Diffusion Models are Geometric Solvers Nir Goren, Shai Yehezkel, Omer Dahary, Andrey Voynov, Or Patashnik, Daniel Cohen-Or CVPR, 2026 paper page
  8. Image Generation from Contextually-Contradictory Prompts Saar Huberman, Or Patashnik, Omer Dahary, Ron Mokady, Daniel Cohen-Or CVPR, 2026 paper page
  9. VLM-Guided Adaptive Negative Prompting for Creative Generation Shelly Golan, Yotam Nitzan, Zongze Wu, Or Patashnik ICLR, 2026 paper page
  10. NoisePrints: Distortion-Free Watermarks for Authorship in Private Diffusion Models Nir Goren, Oren Katzir, Abhinav Nakarmi, Eyal Ronen, Mahmood Sharif, Or Patashnik ICLR, 2026 paper page
  11. DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models Mor Ventura*, Michael Toker*, Or Patashnik, Yonatan Belinkov, Roi Reichart ICLR, 2026 paper
  12. Scaling Group Inference for Diverse and High-Quality Generation Gaurav Parmar, Or Patashnik, Daniil Ostashev, Kuan-Chieh Wang, Kfir Aberman, Srinivasa Narasimhan, Jun-Yan Zhu ICLR, 2026 paper page

    2025

    1. Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA Rameen Abdal, Or Patashnik, Ekaterina Deyneka, Hao Chen, Aliaksandr Siarohin, Sergey Tulyakov, Daniel Cohen-Or, Kfir Aberman SIGGRAPH Asia, 2025 paper page
    2. Object-level Visual Prompts for Compositional Image Generation Gaurav Parmar, Or Patashnik, Kuan-Chieh Wang, Daniil Ostashev, Srinivasa Narasimhan, Jun-Yan Zhu, Daniel Cohen-Or, Kfir Aberman SIGGRAPH Asia, 2025 paper page
    3. Tight Inversion: Image-Conditioned Inversion for Real Image Editing Edo Kadosh*, Nir Goren*, Or Patashnik, Daniel Garibi, Daniel Cohen-Or ICCV Workshop (P13N), 2025 paper page
    4. Be Decisive: Noise-Induced Layouts for Multi-Subject Generation Omer Dahary, Yehonathan Cohen, Or Patashnik, Kfir Aberman, Daniel Cohen-Or SIGGRAPH, 2025 paper page
    5. Dynamic Concepts Personalization from Single Videos Rameen Abdal, Or Patashnik, Ivan Skorokhodov, Willi Menapace, Aliaksandr Siarohin, Sergey Tulyakov, Daniel Cohen-Or, Kfir Aberman SIGGRAPH, 2025 paper page
    6. Nested Attention: Semantic-aware Attention Values for Concept Personalization Or Patashnik, Rinon Gal, Daniil Ostashev, Sergey Tulyakov, Kfir Aberman, Daniel Cohen-Or SIGGRAPH, 2025 paper page
    7. 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
    8. 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
    9. 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
    10. 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

      11. 2024

      1. 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
      2. 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
      3. ReNoise: Real Image Inversion Through Iterative Noising Daniel Garibi, Or Patashnik, Andrey Voynov, Hadar Averbuch-Elor Daniel Cohen-Or ECCV, 2024 paper page
      4. Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation Omer Dahary, Or Patashnik, Kfir Aberman, Daniel Cohen-Or ECCV, 2024 paper page
      5. 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
      6. Cross-Image Attention for Zero-Shot Appearance Transfer Yuval Alaluf*, Daniel Garibi*, Or Patashnik, Hadar Averbuch-Elor Daniel Cohen-Or SIGGRAPH, 2024 paper page
      7. CLiC: Concept Learning in Context Mehdi Safaee, Aryan Mikaeili, Or Patashnik, Daniel Cohen-Or, Ali Mahdavi-Amiri CVPR, 2024 paper
      8. Noise Free Score Distillation Oren Katzir*, Or Patashnik*, Daniel Cohen-Or, Dani Lischinski ICLR, 2024 paper page

          9. 2023

          1. 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
          2. 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
          3. 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

            4. 2022

            1. 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
            2. FEAT: Face Editing with Attention Xianxu Hou, Linlin Shen, Or Patashnik, Daniel Cohen-Or, Hui Huang paper
            3. 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
            4. StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators Rinon Gal, Or Patashnik, Haggai Maron, Gal Checik, Daniel Cohen-Or SIGGRAPH, 2022 paper page
            5. StyleFusion: A Generative Model for Disentangling Spatial Segments Omer Kafri, Or Patashnik, Yuval Alaluf, Daniel Cohen-Or ACM TOG, 2022 paper

            2021

            1. ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement Yuval Alaluf, Or Patashnik, Daniel Cohen-Or ICCV, 2021 paper page
            2. StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery Or Patashnik*, Zongze Wu*, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski ICCV, 2021 (Oral) paper page
            3. Designing an Encoder for StyleGAN Image Manipulation Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, Daniel Cohen-Or SIGGRAPH, 2021 paper page
            4. Only a Matter of Style: Age Transformation Using a Style-Based Regression Model Yuval Alaluf, Or Patashnik, Daniel Cohen-Or SIGGRAPH, 2021 paper page
            5. BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or CVPR Workshop, 2021 paper page
            6. 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

              7. 2020

            7. 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"