Ownership and Creativity in Generative Models. - Omri Avrahami; Bar Tamir (CoRR, 2021)

Blended Diffusion for Text-driven Editing of Natural Images. - Omri Avrahami; Dani Lischinski; Ohad Fried (CVPR, 2022)

GAN Cocktail: Mixing GANs Without Dataset Access. - Omri Avrahami; Dani Lischinski; Ohad Fried (ECCV (23), 2022)

SpaText: Spatio-Textual Representation for Controllable Image Generation. - Omri Avrahami; Thomas Hayes; Oran Gafni; Sonal Gupta; Yaniv Taigman; Devi Parikh; Dani Lischinski; Ohad Fried; Xi Yin 001 (CVPR, 2023)

Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields. - Ori Gordon; Omri Avrahami; Dani Lischinski (ICCV (Workshops), 2023)

Break-A-Scene: Extracting Multiple Concepts from a Single Image. - Omri Avrahami; Kfir Aberman; Ohad Fried; Daniel Cohen-Or; Dani Lischinski (SIGGRAPH Asia, 2023)

Blended Latent Diffusion. - Omri Avrahami; Ohad Fried; Dani Lischinski (ACM Trans. Graph., 2023)

The Chosen One: Consistent Characters in Text-to-Image Diffusion Models. - Omri Avrahami; Amir Hertz; Yael Vinker; Moab Arar; Shlomi Fruchter; Ohad Fried; Daniel Cohen-Or; Dani Lischinski (SIGGRAPH (Conference Paper Track), 2024)

PALP: Prompt Aligned Personalization of Text-to-Image Models. - Moab Arar; Andrey Voynov; Amir Hertz; Omri Avrahami; Shlomi Fruchter; Yael Pritch; Daniel Cohen-Or; Ariel Shamir (SIGGRAPH Asia, 2024)

DiffUHaul: A Training-Free Method for Object Dragging in Images. - Omri Avrahami; Rinon Gal; Gal Chechik; Ohad Fried; Dani Lischinski; Arash Vahdat; Weili Nie (SIGGRAPH Asia, 2024)

Click2Mask: Local Editing with Dynamic Mask Generation. - Omer Regev; Omri Avrahami; Dani Lischinski (AAAI, 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 (CVPR, 2025)

Story2Board: A Training-Free Approach for Expressive Storyboard Generation. - David Dinkevich; Matan Levy; Omri Avrahami; Dvir Samuel; Dani Lischinski (CoRR, 2025)