Fashioning with networks: Neural style transfer to design clothes
A Ganesan, T Oates - arXiv preprint arXiv:1707.09899, 2017 - arxiv.org
Convolutional Neural Networks have been highly successful in performing a host of
computer vision tasks such as object recognition, object detection, image segmentation and
texture synthesis. In 2015, Gatys et. al [7] show how the style of a painter can be extracted
from an image of the painting and applied to another normal photograph, thus recreating the
photo in the style of the painter. The method has been successfully applied to a wide range
of images and has since spawned multiple applications and mobile apps. In this paper, the …
computer vision tasks such as object recognition, object detection, image segmentation and
texture synthesis. In 2015, Gatys et. al [7] show how the style of a painter can be extracted
from an image of the painting and applied to another normal photograph, thus recreating the
photo in the style of the painter. The method has been successfully applied to a wide range
of images and has since spawned multiple applications and mobile apps. In this paper, the …
[CITATION][C] Fashioning with Networks: Neural Style Transfer to Design Clothes
D Prutha, G Ashwinkumar, O Tim - arXiv preprint arXiv:1707.09899, 2017
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