The Verification Cockpit - Creating the Dream Playground for Data Analytics over the Verification Process. - Moab Arar; Michael L. Behm; Odellia Boni; Raviv Gal; Alex Goldin; Maxim Ilyaev; Einat Kermany; John R. Reysa; Bilal Saleh; Klaus-Dieter Schubert; Gil Shurek; Avi Ziv (Haifa Verification Conference, 2015)

Dynamic Matching: Reducing Integral Algorithms to Approximately-Maximal Fractional Algorithms. - Moab Arar; Shiri Chechik; Sarel Cohen; Cliff Stein 001; David Wajc (ICALP, 2018)

Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation. - Moab Arar; Yiftach Ginger; Dov Danon; Amit H. Bermano; Daniel Cohen-Or (CVPR, 2020)

Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation. - Moab Arar; Yiftach Ginger; Dov Danon; Ilya Leizerson; Amit Bermano; Daniel Cohen-Or (CoRR, 2020)

Focus-and-Expand: Training Guidance Through Gradual Manipulation of Input Features. - Moab Arar; Noa Fish; Dani Daniel; Evgeny Tenetov; Ariel Shamir; Amit Bermano (CoRR, 2020)

InAugment: Improving Classifiers via Internal Augmentation. - Moab Arar; Ariel Shamir; Amit Bermano (ICCVW, 2021)

Image resizing by reconstruction from deep features. - Dov Danon; Moab Arar; Daniel Cohen-Or; Ariel Shamir (Comput. Vis. Media, 2021)

Learned Queries for Efficient Local Attention. - Moab Arar; Ariel Shamir; Amit H. Bermano (CVPR, 2022)

Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models. - Moab Arar; Rinon Gal; Yuval Atzmon; Gal Chechik; Daniel Cohen-Or; Ariel Shamir; Amit H. Bermano (SIGGRAPH Asia, 2023)

Designing an Encoder for Fast Personalization of Text-to-Image Models. - Rinon Gal; Moab Arar; Yuval Atzmon; Amit H. Bermano; Gal Chechik; Daniel Cohen-Or (CoRR, 2023)

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

Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models. - Rinon Gal; Moab Arar; Yuval Atzmon; Amit H. Bermano; Gal Chechik; Daniel Cohen-Or (ACM Trans. Graph., 2023)

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

Single Motion Diffusion. - Sigal Raab; Inbal Leibovitch; Guy Tevet; Moab Arar; Amit Haim Bermano; Daniel Cohen-Or (ICLR, 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)

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