Earticle

초록

영어

It is a very challenging task for image processing techniques to render the semantic contents of one image in different styles. For this, Neural Style Transfer (NST) is being used. NST is an application of Deep Neural Networks. The basic purpose of this paper is to help Textile industry and fashion industry using NST. The global apparel manufacturing market is a trillion $ market. Designing apparel is a major task and post COVID era all industry is struggling to minimize operational cost. We propose a neural network for style transfer, which can generate millions of stylized images using content and style images pair.

목차

Abstract
I. INTRODUCTION
II. METHODS
III. RESULTS
IV. CONCLUSION
REFERENCES

저자

• Nouh Sabri Elmitwally [ School of Computing and Digital Technology, Birmingham City University, Birmingham B4 7XG, UK ]
• Talha Imtiaz [ Behria University, Lahore Campus Lahore Pakistan ]
• Shazia Saqib [ Department of Computer Science Lahore Garrison University Lahore Pakistan ] Corresponding Author

참고문헌