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---
language: en
tags:
- Computer Vision
- Machine Learning
- Deep Learning
---
# FExGAN-Meta: Facial Expression Generation with Meta-Humans
This is the demo of the FExGAN-Meta proposed in the following article:
[FExGAN-Meta: Facial Expression Generation with Meta-Humans](https://www.arxiv.com)
FExGAN-Meta is the extension of [FExGAN](http://arxiv.org/abs/2201.09061). It takes input an image of Meta-Human and a vector of desired affect (e.g. angry,disgust,sad,surprise,joy,neutral and fear) and converts the input image to the desired emotion while keeping the identity of the original image.
# Requirements
In order to run this you need following:
* Python >= 3.7
* Tensorflow >= 2.6
* CUDA enabled GPU with memory >=8GB (e.g. GTX1070/GTX1080)
# Usage Code
https://www.github.com/azadlab/FExGAN-Meta
# Citation
If you use any part of this code or use ideas mentioned in the paper, please cite the following article.
```
@article{Siddiqui_FExGAN-Meta_2022,
author = {{Siddiqui}, J. Rafid},
title = {{FExGAN-Meta: Facial Expression Generation with Meta-Humans}},
journal = {ArXiv e-prints},
archivePrefix = "arXiv",
keywords = {Deep Learning, GAN, Facial Expressions},
year = {2022}
url = {http://arxiv.org/abs/2201.09061},
}
```
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