AnyLens: A Generative Diffusion Model with Any Rendering Lens. - Andrey Voynov; Amir Hertz; Moab Arar; Shlomi Fruchter; Daniel Cohen-Or (CoRR, 2023)

Style Aligned Image Generation via Shared Attention. - Amir Hertz; Andrey Voynov; Shlomi Fruchter; Daniel Cohen-Or (CVPR, 2024)

Curved Diffusion: A Generative Model with Optical Geometry Control. - Andrey Voynov; Amir Hertz; Moab Arar; Shlomi Fruchter; Daniel Cohen-Or (ECCV (77), 2024)

ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion. - Daniel Winter; Matan Cohen; Shlomi Fruchter; Yael Pritch; Alex Rav-Acha; Yedid Hoshen (ECCV (77), 2024)

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)

Magic Insert: Style-Aware Drag-and-Drop. - Nataniel Ruiz; Yuanzhen Li; Neal Wadhwa; Yael Pritch; Michael Rubinstein; David E. Jacobs; Shlomi Fruchter (CoRR, 2024)

Imagen 3. - Jason Baldridge; Jakob Bauer; Mukul Bhutani; Nicole Brichtova; Andrew Bunner; Kelvin Chan; Yichang Chen; Sander Dieleman; Yuqing Du; Zach Eaton-Rosen; Hongliang Fei; Nando de Freitas; et al. (CoRR, 2024)

Diffusion Models Are Real-Time Game Engines. - Dani Valevski; Yaniv Leviathan; Moab Arar; Shlomi Fruchter (ICLR, 2025)