ChildGAN

Large Scale Synthetic Child Data Generated via ChildGAN

Link for downloading the Dataset

This is the link of dataset samples: https://drive.google.com/file/d/1oU-6DbwmtiUOokdZtEuCgB8p6TVPRb21/view?usp=share_link

This is the link of whole dataset: https://drive.google.com/drive/folders/1QPTI9Sd4TXTcQWbTEojv6pdWBxlVd1n1?usp=share_link

The tuned models can be downloaded from the below link. https://drive.google.com/drive/folders/1JtLsueTcNOXfmCv76Y78YRu-Q38NfTAL?usp=share_link

This repo contains all the codes. trained models, and link to downlaod complete genereted dataset with six different smart transformations. In this work we have incorparetd six differet smart facial transoformations which include four different facial expressions, eye blinking effect, hair and skin color digitization, aging, facial yaw and pitch variation and varoius ligting conditions.

1. Boy Pitch Transformation

2. Boy Yaw Transformation

3. Boy Age Transformation

4. Boy Expressions Transformation

5. Boy Eye Blinking Transformation

6. Boy Hair and Skin Color Transformation

7. Boy Lighting Transformation

8. Girl Pitch Transformation

9. Girl Age Transformation

10. Girl Eye Blinking Transformation

11. Girl Expressions Transformation

12. Girl Hair and Skin Color Transformation

13. Girl Lighting Transformation

14. Girl Yaw Transformation

The complete styleGAN2 repository can be downloaded from the below link. Link: https://github.com/NVlabs/stylegan2-ada-pytorch

1. The complete dataset along the trained models are open sourced and can be used to generate further synthetic child data samples.

2. The overall ChildGAN dataset structure is provided in the table below.

3. In addition to the complete dataset, we have also released a small subset of this dataset which can be downloaded for validation purposes. The dataset attributes and folder structures of subset dataset is provided below.

4. For further queries please reach us at following email address.

Email 1: [email protected]

Email 2: [email protected]

Note: The following environment will need the mentioned dependencies.

1. python3.6
2. tensorflow 1.14

Thank you.

Regards

Dr Muhammad Ali Farooq

University of Galway

Ireland