What question did this study set out to answer?

To construct a multi-style transfer and creative-assistance framework based on a fusion diffusion model for traditional Chinese painting digitisation and creative support.

August 16, 2026Advanced ElectromagneticsOpen Access

Research on Multi Style Transfer and Creative Assistance of Traditional Chinese Painting with Fusion Diffusion Model

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Authors

MZM. ZhangWeinan Normal University

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Implication

Model evaluation demonstrates 92.6% style transfer accuracy in traditional Chinese painting, highlighting improved digital preservation and artistic assistance.

Key Points

To construct a multi-style transfer and creative-assistance framework based on a fusion diffusion model for traditional Chinese painting digitisation and creative support.
Built a multi-style dataset covering ink wash, meticulous, blue-green, and light red-ochre styles annotated for brushwork, color, composition, and artistic conception.
Integrated a multi-scale feature extraction network with attention mechanisms into Stable Diffusion v1.5 to capture brush textures, blank-space structures, and global style features using HiGS sampling.
Achieved a style transfer accuracy of 92.6%, outperforming baseline diffusion models and GAN-based approaches.
Enhanced inference generation speed with HiGS sampling while providing functional support for style switching, sketch optimization, and cross-domain electromagnetic visualization.

Cite This Study

M. Zhang (2026) studied this question.

synapsesocial.com/papers/6a817a80f2fb91fc834ae5dc https://doi.org/10.7716/aem.v15i3.3999

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Implication

Model evaluation demonstrates 92.6% style transfer accuracy in traditional Chinese painting, highlighting improved digital preservation and artistic assistance.

Research on Multi Style Transfer and Creative Assistance of Traditional Chinese Painting with Fusion Diffusion Model

Discussion

Member takes

Implication

Key Points

Cite This Study

Research on Multi Style Transfer and Creative Assistance of Traditional Chinese Painting with Fusion Diffusion Model

Discussion

Member takes

Implication

Key Points

Cite This Study

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