Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Journal of Engineering and Applied Sciences
Year: 2019  |  Volume: 14  |  Issue: 5 SI  |  Page No.: 9073 - 9085

Using Generative Adversarial Networks (GANs) to Generate Facial Attributes

Mustafa Radif    

Abstract: The study presents a new training method for Generative Adversarial Networks (GANs). The new method is about adding low-resolution layers to images in the networks and gradually increasing the resolution until high resolution with good and realistic images are developed. The method helps to create stable images of good quality and the speed of training also, increases by a factor of 2. A score of 8.8 was achieved for unsupervised CIFAR 10. The study presents details of the implementation where rivalry and competition between the two networks are reduced.

Fulltext    |   Related Articles   |   Back
 
 
   
 
 
 
  Related Articles

 
 
 
 
 
 
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility