Moab Arar

According to our database, Moab Arar authored at least 17 papers between 2015 and 2024.

Collaborative distances:

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

2024

Diffusion Models Are Real-Time Game Engines.

Dani Valevski, Yaniv Leviathan, Moab Arar, Shlomi Fruchter

CoRR, 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

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 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

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Single Motion Diffusion.

Sigal Raab, Inbal Leibovitch, Guy Tevet, Moab Arar, Amit Haim Bermano, Daniel Cohen-Or

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Curved Diffusion: A Generative Model with Optical Geometry Control.

Andrey Voynov, Amir Hertz, Moab Arar, Shlomi Fruchter, Daniel Cohen-Or

Proceedings of the Computer Vision - ECCV 2024, 2024

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., August, 2023

AnyLens: A Generative Diffusion Model with Any Rendering Lens.

Andrey Voynov, Amir Hertz, Moab Arar, Shlomi Fruchter, Daniel Cohen-Or

CoRR, 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

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

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

2022

Learned Queries for Efficient Local Attention.

Moab Arar, Ariel Shamir, Amit H. Bermano

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Image resizing by reconstruction from deep features.

Dov Danon, Moab Arar, Daniel Cohen-Or, Ariel Shamir

Comput. Vis. Media, 2021

InAugment: Improving Classifiers via Internal Augmentation.

Moab Arar, Ariel Shamir, Amit Bermano

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

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

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

Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation.

Moab Arar, Yiftach Ginger, Dov Danon, Amit H. Bermano, Daniel Cohen-Or

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Dynamic Matching: Reducing Integral Algorithms to Approximately-Maximal Fractional Algorithms.

Moab Arar, Shiri Chechik, Sarel Cohen, Cliff Stein, David Wajc

Proceedings of the 45th International Colloquium on Automata, Languages, and Programming, 2018

2015

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

Proceedings of the Hardware and Software: Verification and Testing, 2015