Image Style Transfer Using Convolutional Neural Networks

Rendering the semantic content of an image in different styles is a difficult image processing task. Arguably, a major limiting factor for previous approaches has been the lack of image representations that explicitly represent semantic information and, thus, allow to separate image content from sty...

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Bibliographic Details

Published in:	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 2414 - 2423
Main Authors:	Gatys, Leon A., Ecker, Alexander S., Bethge, Matthias
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2016
Subjects:	Feature extraction Image reconstruction Image representation Neural networks Neuroscience Semantics Visualization
ISSN:	1063-6919
Online Access:	Get full text
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