Search Results for author: Nir Zabari

Found 6 papers, 3 papers with code

LTX-Video: Realtime Video Latent Diffusion

1 code implementation30 Dec 2024 Yoav HaCohen, Nisan Chiprut, Benny Brazowski, Daniel Shalem, Dudu Moshe, Eitan Richardson, Eran Levin, Guy Shiran, Nir Zabari, Ori Gordon, Poriya Panet, Sapir Weissbuch, Victor Kulikov, Yaki Bitterman, Zeev Melumian, Ofir Bibi

To address this, our VAE decoder is tasked with both latent-to-pixel conversion and the final denoising step, producing the clean result directly in pixel space.

Denoising Image to Video Generation

Diffusing Colors: Image Colorization with Text Guided Diffusion

no code implementations7 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.

Colorization Image Colorization

Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples

no code implementations6 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.

Image Segmentation Segmentation +1

Image Shape Manipulation from a Single Augmented Training Sample

1 code implementation2 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.

Image Manipulation Image-to-Image Translation +1

Training End-to-end Single Image Generators without GANs

no code implementations7 Apr 2020 Yael Vinker, Nir Zabari, Yedid Hoshen

We present AugurOne, a novel approach for training single image generative models.

Image Generation

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