International Journal of Electrical, Electronics and Data Communication (IJEEDC)
eISSN:2320-2084 , pISSN:2321-2950
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Volume-7,Issue-12  ( Dec, 2019 )
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Statistics report
Feb. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 84
Paper Published : 1397
No. of Authors : 3784
  Journal Paper

Paper Title
Physiognomy Generation System

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.


Author - Harsha Srinivas, Keerthana M C, Abhinav A Bharadwaj, K A Anavi Prasad, Nathesh M

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| Published on 2019-08-16
   
   
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