Universal Style Transfer via Feature Transforms: Difference between revisions

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==Introduction==
==Introduction==
When viewing an image, whether it is a photograph or a painting, two types of mutually exclusive data are present.
When viewing an image, whether it is a photograph or a painting, two types of mutually exclusive data are present. First, there is the content of the image, such as a person in a portrait. However, the content does not uniquely define the image. Consider a case where multiple artists paint a portrait of an identical subject, the results would vary despite the content being invariant. The cause of the variance is the style of the image, in this case inherent to the particular artist.

Revision as of 20:09, 23 October 2017

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Introduction

When viewing an image, whether it is a photograph or a painting, two types of mutually exclusive data are present. First, there is the content of the image, such as a person in a portrait. However, the content does not uniquely define the image. Consider a case where multiple artists paint a portrait of an identical subject, the results would vary despite the content being invariant. The cause of the variance is the style of the image, in this case inherent to the particular artist.