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Definition
Deep style transfer is an optimization technique, which is characterized by its use of deep neural networks (deep learning), used to manipulate digital images, or videos, to adopt the appearance or visual style of another image. As shown in Fig. 1, given a content image I, a style reference image S (such as an artwork by a famous painter), the output stylized image O will blend texture details from S and the local structure of I, to look like the content image, but “painted” in the style of the style image S”.
Style transfer is to migrate the style/texture from the right style image to the left content image
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Chen, D., Yuan, L., Hua, G. (2020). Deep Style Transfer. In: Computer Vision. Springer, Cham. https://doi.org/10.1007/978-3-030-03243-2_863-1
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DOI: https://doi.org/10.1007/978-3-030-03243-2_863-1
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