# fairgen

**Repository Path**: openbayes/fairgen

## Basic Information

- **Project Name**: fairgen
- **Description**: fairgenfairgenfairgen
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-12-11
- **Last Updated**: 2024-11-10

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# FairGen - Improving the Fairness of Deep Generative Models without Retraining

![image](./docs/assets/framework.jpg)
**Figure:** *Framework of FairGen*.

> **Improving the Fairness of Deep Generative Models without Retraining** <br>
> Shuhan Tan, Yujun Shen, Bolei Zhou <br>
> *arXiv preprint arXiv:2012.04842*

[[Paper](https://arxiv.org/pdf/2012.04842.pdf)]
[[Project Page](https://genforce.github.io/fairgen/)]
[[Colab](https://colab.research.google.com/github/genforce/fairgen/blob/main/docs/fairgen.ipynb)]

In this repository, we propose a simple yet effective method to improve the *fairness* of image generation for a pre-trained GAN model *without retraining*.
We utilize the recent work of *GAN interpretation* and a *Gaussian Mixture Model (GMM)* to support the sampling of latent codes for producing images with a more fair attribute distribution.
We call this method *FairGen*.
Experiments show that *FairGen* can substantially improve the fairness of image generation. The images generated from our method are further applied to reveal and quantify the biases in commercial face classifiers and face super-resolution model. Some results are shown as follows.


## Fair Image Generation

Attributes: Age-Eyeglasses
![image](./docs/assets/age_eyeglasses.jpg)

Attributes: Gender-Black Hair
![image](./docs/assets/gender_black_hair.jpg)

## Identifying Bias in Existing Models

Mis-classification in Commercial Gender Classifiers
![image](./docs/assets/api.jpg)

Attribute Alternation by a Face Super-resolution Model
![image](./docs/assets/PULSE.jpg)

## BibTeX

```bibtex
@article{tan2020fairgen,
  title   = {Improving the Fairness of Deep Generative Models without Retraining},
  author  = {Tan, Shuhan and Shen, Yujun and Zhou, Bolei},
  journal = {arXiv preprint arXiv:2012.04842},
  year    = {2020}
}
```

## Code Coming Soon