Application of in Information Visualization and Generative Adversarial Network in the Review of Style Transfer
DOI:
https://doi.org/10.54097/hset.v47i.8213Keywords:
Style Transfer; GAN; Neural Style Transfer.Abstract
Style transfer is the task that aims to adopt the appearance or visual style of an image to another image. For example, we can transfer the style of a normal landscape photo into the style of a Monet's painting, in which objects are generally drown in an impressionism way. Nowadays, style transfer has become one of the most important application in photo editing. It has attracted artists and designers from around the globe.
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