Search Results for author: Elad Richardson

Found 15 papers, 10 papers with code

LCM-Lookahead for Encoder-based Text-to-Image Personalization

no code implementations4 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.


MyVLM: Personalizing VLMs for User-Specific Queries

no code implementations21 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.

Image Captioning Language Modelling +2

A Neural Space-Time Representation for Text-to-Image Personalization

1 code implementation24 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.


Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes

1 code implementation23 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.

Image Generation Object +1

TEXTure: Text-Guided Texturing of 3D Shapes

1 code implementation3 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.

Image Generation text-guided-generation

NeRN -- Learning Neural Representations for Neural Networks

1 code implementation27 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.

Knowledge Distillation

Rethinking FUN: Frequency-Domain Utilization Networks

1 code implementation6 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.

Efficient Neural Network

It's All About The Scale -- Efficient Text Detection Using Adaptive Scaling

no code implementations28 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.

Text Detection

Learning Detailed Face Reconstruction from a Single 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.

Face Reconstruction Object Recognition

3D Face Reconstruction by Learning from Synthetic Data

no code implementations14 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.

3D Face Reconstruction

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