원문정보
한국차세대컴퓨팅학회
한국차세대컴퓨팅학회 학술대회
The 8th International Conference on Next Generation Computing 2022
2022.10
pp.241-244
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
I. INTRODUCTION
II. METHODS
III. RESULTS
IV. CONCLUSION
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보