Or Patashnik
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
6
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGGRAPH | 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 |
| 2026 | SIGGRAPH | LooseRoPE: Content-aware Attention Manipulation for Semantic Harmonization. | Etai Sella, Yoav Baron, Hadar Averbuch-Elor, Daniel Cohen-Or, Or Patashnik |
| 2026 | SIGGRAPH | Prox-E: Fine-Grained 3D Shape Editing via Primitive-Based Abstractions. | Etai Sella, Hao Phung, Nitay Amiel, Or Litany, Or Patashnik, Hadar Averbuch-Elor |
| 2026 | SIGGRAPH | Continuous Control of Editing Models via Adaptive-Origin Guidance. | Alon Wolf, Chen Katzir, Kfir Aberman, Or Patashnik |
| 2025 | CVPR | Stable Flow: Vital Layers for Training-Free Image Editing. | Omri Avrahami, Or Patashnik, Ohad Fried, Egor Nemchinov, Kfir Aberman, Dani Lischinski, Daniel Cohen-Or |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | ICCV | Tight Inversion: Image-Conditioned Inversion for Real Image Editing. | Edo Kadosh, Nir Goren, Or Patashnik, Daniel Garibi, Daniel Cohen-Or |
| 2025 | SIGGRAPH | Dynamic Concepts Personalization from Single Videos. | Rameen Abdal, Or Patashnik, Ivan Skorokhodov, Willi Menapace, Aliaksandr Siarohin, Sergey Tulyakov, Daniel Cohen-Or, Kfir Aberman |
| 2025 | SIGGRAPH | Be Decisive: Noise-Induced Layouts for Multi-Subject Generation. | Omer Dahary, Yehonathan Cohen, Or Patashnik, Kfir Aberman, Daniel Cohen-Or |
| 2025 | SIGGRAPH | Nested Attention: Semantic-aware Attention Values for Concept Personalization. | Or Patashnik, Rinon Gal, Daniil Ostashev, Sergey Tulyakov, Kfir Aberman, Daniel Cohen-Or |
| 2025 | SiggraphA | 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 |
| 2025 | SiggraphA | Object-level Visual Prompts for Compositional Image Generation. | Gaurav Parmar, Or Patashnik, Kuan-Chieh Wang, Daniil Ostashev, Srinivasa G. Narasimhan, Jun-Yan Zhu, Daniel Cohen-Or, Kfir Aberman |
| 2024 | CVPR | CLiC: Concept Learning in Context. | Mehdi Safaee, Aryan Mikaeili, Or Patashnik, Daniel Cohen-Or, Ali Mahdavi-Amiri |
| 2024 | ECCV | Be Yourself: Bounded Attention for Multi-subject Text-to-Image Generation. | Omer Dahary, Or Patashnik, Kfir Aberman, Daniel Cohen-Or |
| 2024 | ECCV | 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 |
| 2024 | ECCV | ReNoise: Real Image Inversion Through Iterative Noising. | Daniel Garibi, Or Patashnik, Andrey Voynov, Hadar Averbuch-Elor, Daniel Cohen-Or |
| 2024 | ICLR | Noise-free Score Distillation. | Oren Katzir, Or Patashnik, Daniel Cohen-Or, Dani Lischinski |
| 2024 | SIGGRAPH | Cross-Image Attention for Zero-Shot Appearance Transfer. | Yuval Alaluf, Daniel Garibi, Or Patashnik, Hadar Averbuch-Elor, Daniel Cohen-Or |
| 2024 | SiggraphA | TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models. | Gilad Deutch, Rinon Gal, Daniel Garibi, Or Patashnik, Daniel Cohen-Or |
| 2024 | SiggraphA | Consolidating Attention Features for Multi-view Image Editing. | Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre |
| 2023 | CVPR | Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. | Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or |
| 2023 | ICCV | Localizing Object-level Shape Variations with Text-to-Image Diffusion Models. | Or Patashnik, Daniel Garibi, Idan Azuri, Hadar Averbuch-Elor, Daniel Cohen-Or |
| 2023 | ICLR | An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion. | Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit Haim Bermano, Gal Chechik, Daniel Cohen-Or |
| 2022 | ECCV | 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 |
| 2021 | CVPR | BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains. | Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or |
| 2021 | CVPR | 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 |
| 2021 | ICCV | ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement. | Yuval Alaluf, Or Patashnik, Daniel Cohen-Or |
| 2021 | ICCV | StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery. | Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski |