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Nouh Sabri Elmitwally,Talha Imtiaz,Shazia Saqib 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.10
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.