A Realistic Image Generation of Face From Text Description Using the Fully Trained Generative Adversarial Networks

A Realistic Image Generation of Face From Text Description Using the Fully Trained Generative Adversarial Networks

Text to face generation is a sub-domain of text to image synthesis. It has a huge impact on new research areas along with the wide range of applications in the public safety domain. Due to the lack of dataset, the research work focused on the text to face generation is very limited. Most of the work...

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Bibliographic Details
Main Authors: Muhammad Zeeshan Khan, Saira Jabeen, Muhammad Usman Ghani Khan, Tanzila Saba, Asim Rehmat, Amjad Rehman, Usman Tariq
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
GAN
CNN
text to face
image generation
face synthesis
data augmentation
Online Access:https://ieeexplore.ieee.org/document/9163356/

Internet

https://ieeexplore.ieee.org/document/9163356/

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