no code implementations • 4 Apr 2024 • Rinon Gal, Or Lichter, Elad Richardson, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or
In this work, we explore the potential of using such shortcut-mechanisms to guide the personalization of text-to-image models to specific facial identities.
no code implementations • 21 Mar 2024 • Yuval Alaluf, Elad Richardson, Sergey Tulyakov, Kfir Aberman, Daniel Cohen-Or
To effectively recognize a variety of user-specific concepts, we augment the VLM with external concept heads that function as toggles for the model, enabling the VLM to identify the presence of specific target concepts in a given image.
1 code implementation • 3 Aug 2023 • Elad Richardson, Kfir Goldberg, Yuval Alaluf, Daniel Cohen-Or
Recent text-to-image generative models have enabled us to transform our words into vibrant, captivating imagery.
1 code implementation • 24 May 2023 • Yuval Alaluf, Elad Richardson, Gal Metzer, Daniel Cohen-Or
We observe that one can significantly improve the convergence and visual fidelity of the concept by introducing a textual bypass, where our neural mapper additionally outputs a residual that is added to the output of the text encoder.
1 code implementation • 23 Mar 2023 • Dana Cohen-Bar, Elad Richardson, Gal Metzer, Raja Giryes, Daniel Cohen-Or
We show that using proxies allows a wide variety of editing options, such as adjusting the placement of each independent object, removing objects from a scene, or refining an object.
1 code implementation • 3 Feb 2023 • Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
In this paper, we present TEXTure, a novel method for text-guided generation, editing, and transfer of textures for 3D shapes.
1 code implementation • 27 Dec 2022 • Maor Ashkenazi, Zohar Rimon, Ron Vainshtein, Shir Levi, Elad Richardson, Pinchas Mintz, Eran Treister
Neural Representations have recently been shown to effectively reconstruct a wide range of signals from 3D meshes and shapes to images and videos.
2 code implementations • CVPR 2023 • Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or
This unique combination of text and shape guidance allows for increased control over the generation process.
Ranked #3 on Text to 3D on T$^3$Bench
1 code implementation • 6 Dec 2020 • Kfir Goldberg, Stav Shapiro, Elad Richardson, Shai Avidan
The search for efficient neural network architectures has gained much focus in recent years, where modern architectures focus not only on accuracy but also on inference time and model size.
10 code implementations • CVPR 2021 • Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or
We present a generic image-to-image translation framework, pixel2style2pixel (pSp).
no code implementations • 28 Jul 2019 • Elad Richardson, Yaniv Azar, Or Avioz, Niv Geron, Tomer Ronen, Zach Avraham, Stav Shapiro
If we were to have a prior telling us the coarse location of text instances in the image and their approximate scale, we could have adaptively chosen which regions to process and how to rescale them, thus significantly reducing the processing time.
2 code implementations • ICCV 2017 • Matan Sela, Elad Richardson, Ron Kimmel
It has been recently shown that neural networks can recover the geometric structure of a face from a single given image.
no code implementations • CVPR 2017 • Elad Richardson, Matan Sela, Roy Or-El, Ron Kimmel
In contrast, we propose to leverage the power of convolutional neural networks to produce a highly detailed face reconstruction from a single image.
no code implementations • 14 Sep 2016 • Elad Richardson, Matan Sela, Ron Kimmel
Fast and robust three-dimensional reconstruction of facial geometric structure from a single image is a challenging task with numerous applications.
1 code implementation • NeurIPS 2016 • Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky
SEBOOST applies a secondary optimization process in the subspace spanned by the last steps and descent directions.