Or Patashnik

According to our database, Or Patashnik authored at least 56 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Prox-E: Fine-Grained 3D Shape Editing via Primitive-Based Abstractions.

Etai Sella, Hao Phung, Nitay Amiel, Or Litany, Or Patashnik, Hadar Averbuch-Elor

CoRR, April, 2026

ParetoSlider: Diffusion Models Post-Training for Continuous Reward Control.

Shelly Golan, Michael Finkelson, Ariel Bereslavsky, Yotam Nitzan, Or Patashnik

CoRR, April, 2026

HDR Video Generation via Latent Alignment with Logarithmic Encoding.

Naomi Ken Korem, Mohamed Oumoumad, Harel Cain, Matan Ben-Yosef, Urska Jelercic, Ofir Bibi, Yaron Inger, Or Patashnik, Daniel Cohen-Or

CoRR, April, 2026

RealMaster: Lifting Rendered Scenes into Photorealistic Video.

Dana Cohen-Bar, Ido Sobol, Raphael Bensadoun, Shelly Sheynin, Oran Gafni, Or Patashnik, Daniel Cohen-Or, Amit Zohar

CoRR, March, 2026

SemanticMoments: Training-Free Motion Similarity via Third Moment Features.

Saar Huberman, Kfir Goldberg, Or Patashnik, Sagie Benaim, Ron Mokady

CoRR, February, 2026

Untwisting RoPE: Frequency Control for Shared Attention in DiTs.

Aryan Mikaeili, Or Patashnik, Andrea Tagliasacchi, Daniel Cohen-Or, Ali Mahdavi-Amiri

CoRR, February, 2026

Continuous Control of Editing Models via Adaptive-Origin Guidance.

Alon Wolf, Chen Katzir, Kfir Aberman, Or Patashnik

CoRR, February, 2026

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

CoRR, January, 2026

Tuning-free Visual Effect Transfer across Videos.

Maxwell Jones, Rameen Abdal, Or Patashnik, Ruslan Salakhutdinov, Sergey Tulyakov, Jun-Yan Zhu, Kuan-Chieh Jackson Wang

CoRR, January, 2026

LooseRoPE: Content-aware Attention Manipulation for Semantic Harmonization.

Etai Sella, Yoav Baron, Hadar Averbuch-Elor, Daniel Cohen-Or, Or Patashnik

CoRR, January, 2026

2025

In-Context Sync-LoRA for Portrait Video Editing.

Sagi Polaczek, Or Patashnik, Ali Mahdavi-Amiri, Daniel Cohen-Or

CoRR, December, 2025

Visual Diffusion Models are Geometric Solvers.

Nir Goren, Shai Yehezkel, Omer Dahary, Andrey Voynov, Or Patashnik, Daniel Cohen-Or

CoRR, October, 2025

DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models.

Mor Ventura, Michael Toker, Or Patashnik, Yonatan Belinkov, Roi Reichart

CoRR, October, 2025

NoisePrints: Distortion-Free Watermarks for Authorship in Private Diffusion Models.

Nir Goren, Oren Katzir, Abhinav Nakarmi, Eyal Ronen, Mahmood Sharif, Or Patashnik

CoRR, October, 2025

VLM-Guided Adaptive Negative Prompting for Creative Generation.

Shelly Golan, Yotam Nitzan, Zongze Wu, Or Patashnik

CoRR, October, 2025

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

CoRR, October, 2025

SAEdit: Token-level control for continuous image editing via Sparse AutoEncoder.

Ronen Kamenetsky, Sara Dorfman, Daniel Garibi, Roni Paiss, Or Patashnik, Daniel Cohen-Or

CoRR, October, 2025

Scaling Group Inference for Diverse and High-Quality Generation.

Gaurav Parmar, Or Patashnik, Daniil Ostashev, Kuan-Chieh Wang, Kfir Aberman, Srinivasa G. Narasimhan, Jun-Yan Zhu

CoRR, August, 2025

Image Generation from Contextually-Contradictory Prompts.

Saar Huberman, Or Patashnik, Omer Dahary, Ron Mokady, Daniel Cohen-Or

CoRR, June, 2025

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

Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

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

Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

Nested Attention: Semantic-aware Attention Values for Concept Personalization.

Or Patashnik, Rinon Gal, Daniil Ostashev, Sergey Tulyakov, Kfir Aberman, Daniel Cohen-Or

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

Be Decisive: Noise-Induced Layouts for Multi-Subject Generation.

Omer Dahary, Yehonathan Cohen, Or Patashnik, Kfir Aberman, Daniel Cohen-Or

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

Dynamic Concepts Personalization from Single Videos.

Rameen Abdal, Or Patashnik, Ivan Skorokhodov, Willi Menapace, Aliaksandr Siarohin, Sergey Tulyakov, Daniel Cohen-Or, Kfir Aberman

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

Tight Inversion: Image-Conditioned Inversion for Real Image Editing.

Edo Kadosh, Nir Goren, Or Patashnik, Daniel Garibi, Daniel Cohen-Or

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Stable Flow: Vital Layers for Training-Free Image Editing.

Omri Avrahami, Or Patashnik, Ohad Fried, Egor Nemchinov, Kfir Aberman, Dani Lischinski, Daniel Cohen-Or

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors.

Yehonathan Litman, Or Patashnik, Kangle Deng, Aviral Agrawal, Rushikesh Zawar, Fernando De la Torre, Shubham Tulsiani

Proceedings of the International Conference on 3D Vision, 2025

2024

CLIP-Flow: Decoding images encoded in CLIP space.

Hao Ma, Ming Li, Jingyuan Yang, Or Patashnik, Dani Lischinski, Daniel Cohen-Or, Hui Huang

Comput. Vis. Media, December, 2024

Consolidating Attention Features for Multi-view Image Editing.

Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models.

Gilad Deutch, Rinon Gal, Daniel Garibi, Or Patashnik, Daniel Cohen-Or

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Cross-Image Attention for Zero-Shot Appearance Transfer.

Yuval Alaluf, Daniel Garibi, Or Patashnik, Hadar Averbuch-Elor, Daniel Cohen-Or

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Noise-free Score Distillation.

Oren Katzir, Or Patashnik, Daniel Cohen-Or, Dani Lischinski

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ReNoise: Real Image Inversion Through Iterative Noising.

Daniel Garibi, Or Patashnik, Andrey Voynov, Hadar Averbuch-Elor, Daniel Cohen-Or

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

Be Yourself: Bounded Attention for Multi-subject Text-to-Image Generation.

Omer Dahary, Or Patashnik, Kfir Aberman, Daniel Cohen-Or

Proceedings of the Computer Vision - ECCV 2024, 2024

CLiC: Concept Learning in Context.

Mehdi Safaee, Aryan Mikaeili, Or Patashnik, Daniel Cohen-Or, Ali Mahdavi-Amiri

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Localizing Object-level Shape Variations with Text-to-Image Diffusion Models.

Or Patashnik, Daniel Garibi, Idan Azuri, Hadar Averbuch-Elor, Daniel Cohen-Or

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures.

Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

StyleFusion: Disentangling Spatial Segments in StyleGAN-Generated Images.

Omer Kafri, Or Patashnik, Yuval Alaluf, Daniel Cohen-Or

ACM Trans. Graph., 2022

StyleGAN-NADA: CLIP-guided domain adaptation of image generators.

Rinon Gal, Or Patashnik, Haggai Maron, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or

ACM Trans. Graph., 2022

FEAT: Face Editing with Attention.

Xianxu Hou, Linlin Shen, Or Patashnik, Daniel Cohen-Or, Hui Huang

CoRR, 2022

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

Comput. Graph. Forum, 2022

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Designing an encoder for StyleGAN image manipulation.

Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, Daniel Cohen-Or

ACM Trans. Graph., 2021

Only a matter of style: age transformation using a style-based regression model.

Yuval Alaluf, Or Patashnik, Daniel Cohen-Or

ACM Trans. Graph., 2021

StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators.

Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or

CoRR, 2021

StyleFusion: A Generative Model for Disentangling Spatial Segments.

Omer Kafri, Or Patashnik, Yuval Alaluf, Daniel Cohen-Or

CoRR, 2021

StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery.

Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement.

Yuval Alaluf, Or Patashnik, Daniel Cohen-Or

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains.

Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Temporal scatterplots.

Or Patashnik, Min Lu, Amit H. Bermano, Daniel Cohen-Or

Comput. Vis. Media, 2020

BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer.

Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or

CoRR, 2020