Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Neural Style Transfer For Fonts

Author : Mohith Subbarayudu Bhupalam 1 Gelivi Sai Arya Dikshith Vishwajith 2

Date of Publication :10th October 2018

Abstract: This paper concentrates on an approach to generate new fonts by using neural style transfer. Neural Style transfer is a deep learning method which transfers style from a style image to a content image . Our approach combines the content of the style image and the content image. We also demonstrate the effects of using different number of iterations. We show the results using different languages and provide an insight of style transfer in designing new fonts.

Reference :

    1. Gantungs Atarsaikhan, Brian Kenji Iwana, Atsushi Narusawa, Keiji Yanai, Seiichi Uchida, ‘Neural Font Style Transfer ‘, IAPR International Conference on Document Analysis and Recognition ,2017
    2. Leon A.Gatys, Alexander S.Ecker, Matthias Bethge, ‘Image Style Transfer Using Convolutional Neural Networks ‘ , IEEE Conference on Computer Vision and Pattern Recognition , 2016.

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