Synthetic Disguised Face Database

The database repository for Synthetic Disguised Face Database (Syn-DFD).

The database presents synthetically generated face images with 13 disguise add-ons. Presented database contains 15 disguise variations for 70 subjects.

Some results are shown in the figure below:

To access the database kindly email: mobeen[at]sju.ac.kr with the subject: "Synthetic Disguised Face Database Access Request."

OR

Fill out the License Agreement at https://forms.gle/3bgrfa65h1SEW3Ld9

How to use Syn-DFD:

Synthetic Disguised Face Database is freely available for usage in scientific research only. All publications using Sejong Face Database must cite the following papers:

1. Ahmad, M.; Cheema, U.; Abdullah, M.; Moon, S.; Han, D. Generating Synthetic Disguised Faces with Cycle-Consistency Loss and an Automated Filtering Algorithm. Mathematics 2022, 10, 4. https://doi.org/10.3390/math10010004

2. Cheema, Usman, and Seungbin Moon. "Sejong face database: A multi-modal disguise face database." Computer Vision and Image Understanding 208 (2021): 103218. https://doi.org/10.1016/j.cviu.2021.103218