DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
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Issue |
Volume-7,Issue-6 ( Jun, 2019 ) | |||||||||
Paper Title |
Physiognomy Generation System | |||||||||
Author Name |
Harsha Srinivas, Keerthana M C, Abhinav A Bharadwaj, K A Anavi Prasad, Nathesh M | |||||||||
Affilition |
Vidyavardhaka College of Engineering, Mysuru, Karnataka, India | |||||||||
Pages |
25-29 | |||||||||
Abstract |
The term physiognomy is derived from the ancient Greek word for nature, physics. It is the pseudo-science associated with personal characteristics and traits, especially the facial elements of humans. In this paper we will be discussing about the generation of human faces based on the facial description given as an input to the system. The system uses deep learning technology that helps in synthesis of human face. The system relies on the Face2Text dataset. Keywords – Deep Learning, Neural Networks, Generative Adversarial Networks, Conditional Augmentation, Face, Text to Face Generation, Physiognomy. | |||||||||
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