no code implementations • 7 Dec 2023 • Nir Zabari, Aharon Azulay, Alexey Gorkor, Tavi Halperin, Ohad Fried
To tackle these issues, we present a novel image colorization framework that utilizes image diffusion techniques with granular text prompts.
no code implementations • 6 Dec 2021 • Nir Zabari, Yedid Hoshen
The output of this stage provides pixel-level pseudo-labels, instead of the manual pixel-level labels required by supervised methods.
1 code implementation • ICCV 2021 • Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen
In this paper, we present DeepSIM, a generative model for conditional image manipulation based on a single image.
Ranked #1 on Image Manipulation on LRS2
1 code implementation • 2 Jul 2020 • Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen
In this paper, we present DeepSIM, a generative model for conditional image manipulation based on a single image.
no code implementations • 7 Apr 2020 • Yael Vinker, Nir Zabari, Yedid Hoshen
We present AugurOne, a novel approach for training single image generative models.