Omri Avrahami

I am a Ph.D. candidate at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, under the joint supervision of Prof. Dani Lischinski and Dr. Ohad Fried.

My research interests include machine learning, computer vision, and generative models. More specifically, I am interested in developing new tools for content synthesis and editing.

Currently, I am spending my summer at Meta AI Research (FAIR) as a Research Scientist Intern.


Publications

SpaText: Spatio-Textual Representation for Controllable Image Generation

arXiv, 2022

We suggest a new method for text-to-image generation using open-vocabulary scene control.

Blended Latent Diffusion

arXiv, 2022
Omri Avrahami, Ohad Fried, Dani Lischinski

We present an accelerated solution to the task of local text-driven editing of generic images, where the desired edits are confined to a user-provided mask.

Blended Diffusion for Text-driven Editing of Natural Images

CVPR, 2022
Omri Avrahami, Dani Lischinski, Ohad Fried

We introduce a solution for performing local (region-based) edits in generic natural images, based on a natural language description along with an ROI mask.

GAN Cocktail: mixing GANs without dataset access

ECCV, 2022
Omri Avrahami, Dani Lischinski, Ohad Fried

We tackle the problem of model merging, given two constraints that often come up in the real world: (1) no access to the original training data, and (2) without increasing the size of the neural network.