no code implementations • 21 Mar 2024 • Yarden Frenkel, Yael Vinker, Ariel Shamir, Daniel Cohen-Or
In this paper, we introduce B-LoRA, a method that leverages LoRA (Low-Rank Adaptation) to implicitly separate the style and content components of a single image, facilitating various image stylization tasks.
1 code implementation • NeurIPS 2023 • Kushin Mukherjee, Holly Huey, Xuanchen Lu, Yael Vinker, Rio Aguina-Kang, Ariel Shamir, Judith E. Fan
Sketching is a powerful tool for creating abstract images that are sparse but meaningful.
no code implementations • 21 Nov 2023 • Rinon Gal, Yael Vinker, Yuval Alaluf, Amit H. Bermano, Daniel Cohen-Or, Ariel Shamir, Gal Chechik
A sketch is one of the most intuitive and versatile tools humans use to convey their ideas visually.
1 code implementation • 16 Nov 2023 • Omri Avrahami, Amir Hertz, Yael Vinker, Moab Arar, Shlomi Fruchter, Ohad Fried, Daniel Cohen-Or, Dani Lischinski
Our quantitative analysis demonstrates that our method strikes a better balance between prompt alignment and identity consistency compared to the baseline methods, and these findings are reinforced by a user study.
no code implementations • 29 May 2023 • Yael Vinker, Andrey Voynov, Daniel Cohen-Or, Ariel Shamir
Each node in the tree represents a sub-concept using a learned vector embedding injected into the latent space of a pretrained text-to-image model.
no code implementations • 3 Mar 2023 • Shir Iluz, Yael Vinker, Amir Hertz, Daniel Berio, Daniel Cohen-Or, Ariel Shamir
A word-as-image is a semantic typography technique where a word illustration presents a visualization of the meaning of the word, while also preserving its readability.
2 code implementations • 31 Jan 2023 • Hila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf, Daniel Cohen-Or
Recent text-to-image generative models have demonstrated an unparalleled ability to generate diverse and creative imagery guided by a target text prompt.
no code implementations • ICCV 2023 • Yael Vinker, Yuval Alaluf, Daniel Cohen-Or, Ariel Shamir
In this paper, we present a method for converting a given scene image into a sketch using different types and multiple levels of abstraction.
1 code implementation • 11 Feb 2022 • Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Christian Bachmann, Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, Ariel Shamir
Abstraction is at the heart of sketching due to the simple and minimal nature of line drawings.
no code implementations • ICCV 2021 • Yael Vinker, Inbar Huberman-Spiegelglas, Raanan Fattal
In this paper we describe a new tone-mapping approach guided by the distinct goal of producing low dynamic range (LDR) renditions that best reproduce the visual characteristics of native LDR images.
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.