Or Patashnik

According to our database, Or Patashnik authored at least 25 papers between 2020 and 2024.

Collaborative distances:

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

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

CoRR, 2024

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

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

CoRR, 2024

ReNoise: Real Image Inversion Through Iterative Noising.

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

CoRR, 2024

Consolidating Attention Features for Multi-view Image Editing.

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

CoRR, 2024

2023

CLiC: Concept Learning in Context.

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

CoRR, 2023

Cross-Image Attention for Zero-Shot Appearance Transfer.

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

CoRR, 2023

Noise-Free Score Distillation.

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

CoRR, 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