Research on the Transfer Effect of Traditional Painting Styles Empowered by Artificial Intelligence

With the vigorous development and technological advancement of artificial intelligence, style transfer technology driven by deep learning has become a hot topic in the research of artificial intelligence computer vision. This technology not only promotes the innovation pace of artificial intelligence, but also opens up a new cross disciplinary chapter by combining with traditional painting. Style transfer technology not only opens up a new path for the dissemination of traditional painting, but also promotes its deep practice of protection and innovation. This paper reviews the development of style transfer technology, and discusses the transfer effects of different style transfer models in different traditional painting styles in China through experiments, which provides a reference direction for the development of traditional painting in the field of style transfer, and also provides guidance and enlightenment for future practitioners in model selection.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1145/3707292.3707393
Primary Topic
Digital Media and Visual Art
Type
article
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article

Research on the Transfer Effect of Traditional Painting Styles Empowered by Artificial Intelligence

Heyu Wang, Chen Cui
Digital Media and Visual Art
article

Research on the Transfer Effect of Traditional Painting Styles Empowered by Artificial Intelligence

Heyu Wang, Chen Cui
article en

Abstract

With the vigorous development and technological advancement of artificial intelligence, style transfer technology driven by deep learning has become a hot topic in the research of artificial intelligence computer vision. This technology not only promotes the innovation pace of artificial intelligence, but also opens up a new cross disciplinary chapter by combining with traditional painting. Style transfer technology not only opens up a new path for the dissemination of traditional painting, but also promotes its deep practice of protection and innovation. This paper reviews the development of style transfer technology, and discusses the transfer effects of different style transfer models in different traditional painting styles in China through experiments, which provides a reference direction for the development of traditional painting in the field of style transfer, and also provides guidance and enlightenment for future practitioners in model selection.

Beijing Institute of Graphic Communication (CN)
Openalex Percentile: Top 48%
Digital Media and Visual Art
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Research on the Transfer Effect of Traditional Painting Styles Empowered by Artificial Intelligence — Heyu Wang, Chen Cui · (2024) | TGRS Research Map | TGRS