BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer. - Or Patashnik; Dov Danon; Hao Zhang 002; Daniel Cohen-Or (CoRR, 2020)

Temporal scatterplots. - Or Patashnik; Min Lu 002; Amit H. Bermano; Daniel Cohen-Or (Comput. Vis. Media, 2020)

BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains. - Or Patashnik; Dov Danon; Hao Zhang 002; Daniel Cohen-Or (CVPR Workshops, 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 (CVPR, 2021)

ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement. - Yuval Alaluf; Or Patashnik; Daniel Cohen-Or (ICCV, 2021)

StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery. - Or Patashnik; Zongze Wu 002; Eli Shechtman; Daniel Cohen-Or; Dani Lischinski (ICCV, 2021)

StyleFusion: A Generative Model for Disentangling Spatial Segments. - Omer Kafri; Or Patashnik; Yuval Alaluf; Daniel Cohen-Or (CoRR, 2021)

StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators. - Rinon Gal; Or Patashnik; Haggai Maron; Gal Chechik; Daniel Cohen-Or (CoRR, 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)

Designing an encoder for StyleGAN image manipulation. - Omer Tov; Yuval Alaluf; Yotam Nitzan; Or Patashnik; Daniel Cohen-Or (ACM Trans. Graph., 2021)

Third Time's the Charm? Image and Video Editing with StyleGAN3. - Yuval Alaluf; Or Patashnik; Zongze Wu 002; Asif Zamir; Eli Shechtman; Dani Lischinski; Daniel Cohen-Or (ECCV Workshops (2), 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)

FEAT: Face Editing with Attention. - Xianxu Hou; Linlin Shen; Or Patashnik; Daniel Cohen-Or; Hui Huang 004 (CoRR, 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)

StyleFusion: Disentangling Spatial Segments in StyleGAN-Generated Images. - Omer Kafri; Or Patashnik; Yuval Alaluf; Daniel Cohen-Or (ACM Trans. Graph., 2022)

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. - Gal Metzer; Elad Richardson; Or Patashnik; Raja Giryes; Daniel Cohen-Or (CVPR, 2023)

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)

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 (ICLR, 2023)

CLiC: Concept Learning in Context. - Mehdi Safaee; Aryan Mikaeili; Or Patashnik; Daniel Cohen-Or; Ali Mahdavi-Amiri (CVPR, 2024)

Be Yourself: Bounded Attention for Multi-subject Text-to-Image Generation. - Omer Dahary; Or Patashnik; Kfir Aberman; Daniel Cohen-Or (ECCV (14), 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 (ECCV (14), 2024)

ReNoise: Real Image Inversion Through Iterative Noising. - Daniel Garibi; Or Patashnik; Andrey Voynov; Hadar Averbuch-Elor; Daniel Cohen-Or (ECCV (14), 2024)

Noise-free Score Distillation. - Oren Katzir; Or Patashnik; Daniel Cohen-Or; Dani Lischinski (ICLR, 2024)

Cross-Image Attention for Zero-Shot Appearance Transfer. - Yuval Alaluf; Daniel Garibi; Or Patashnik; Hadar Averbuch-Elor; Daniel Cohen-Or (SIGGRAPH (Conference Paper Track), 2024)

TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models. - Gilad Deutch; Rinon Gal; Daniel Garibi; Or Patashnik; Daniel Cohen-Or (SIGGRAPH Asia, 2024)

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)

MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors. - Yehonathan Litman; Or Patashnik; Kangle Deng; Aviral Agrawal; Rushikesh Zawar; Fernando De la Torre; Shubham Tulsiani (CoRR, 2024)

CLIP-Flow: Decoding images encoded in CLIP space. - Hao Ma; Ming Li; Jingyuan Yang 002; Or Patashnik; Dani Lischinski; Daniel Cohen-Or; Hui Huang 004 (Comput. Vis. Media, 2024)

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)

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)

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)

Nested Attention: Semantic-aware Attention Values for Concept Personalization. - Or Patashnik; Rinon Gal; Daniil Ostashev; Sergey Tulyakov; Kfir Aberman; Daniel Cohen-Or (CoRR, 2025)

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 (CoRR, 2025)

Dynamic Concepts Personalization from Single Videos. - Rameen Abdal; Or Patashnik; Ivan Skorokhodov; Willi Menapace; Aliaksandr Siarohin; Sergey Tulyakov; Daniel Cohen-Or; Kfir Aberman (CoRR, 2025)

Tight Inversion: Image-Conditioned Inversion for Real Image Editing. - Edo Kadosh; Nir Goren; Or Patashnik; Daniel Garibi; Daniel Cohen-Or (CoRR, 2025)

Be Decisive: Noise-Induced Layouts for Multi-Subject Generation. - Omer Dahary; Yehonathan Cohen; Or Patashnik; Kfir Aberman; Daniel Cohen-Or (CoRR, 2025)

Image Generation from Contextually-Contradictory Prompts. - Saar Huberman; Or Patashnik; Omer Dahary; Ron Mokady; Daniel Cohen-Or (CoRR, 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 (CoRR, 2025)