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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Principais autores:	Muhammad Zeeshan Khan, Saira Jabeen, Muhammad Usman Ghani Khan, Tanzila Saba, Asim Rehmat, Amjad Rehman, Usman Tariq
格式:	Artigo
語言:	Inglês
出版:	IEEE 2021-01-01
叢編:	IEEE Access
主題:	GAN CNN text to face image generation face synthesis data augmentation
在線閱讀:	https://ieeexplore.ieee.org/document/9163356/
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