Paper Title :StyleScribe: Text to Image Generator Using Generative Adversarial Network
Author :Parth Mhatre, Viraj Mhatre, Renissa Dcunha, Rhea Samuel, Garima Singh
Article Citation :Parth Mhatre ,Viraj Mhatre ,Renissa Dcunha ,Rhea Samuel ,Garima Singh ,
(2024 ) " StyleScribe: Text to Image Generator Using Generative Adversarial Network " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 91-95,
Volume-12,Issue-6
Abstract : Historically controlled by human designers, the fashion industry is experiencing an evolution due to the
combination of Artificial Intelligence (AI) and Generative Adversarial Networks (GANs).The proposed method bridges the
gap between written descriptions and visual representations of fashion concepts by utilizing artificial intelligence (AI)
technology, especially generative adversarial networks (GANs). The design process is being transformed by users' ability to
produce high-fidelity fashion visuals through the entry of descriptive language. GAN eliminates the need for tedious drawing
or conventional design software by allowing users to enter descriptive language, from broad ideas to exact specifications like
color, pattern or texture and the AI system generates fashion images in accordance. Users can enter their choices for color,
designs and patterns by interacting with the AI system to develop fashion pieces according to their own preferences
Keywords - Artificial Intelligence; Generative Adversarial Networks (GANs)
Type : Research paper
Published : Volume-12,Issue-6
Copyright: © Institute of Research and Journals
| |
 |
| |
 |
PDF |
| |
Viewed - 31 |
| |
Published on 2024-09-21 |
|
