What question did this study set out to answer?

Develop an automated style transfer algorithm that faithfully captures the unique aesthetic and technical characteristics of traditional Chinese ink and wash paintings.

January 1, 2019SHILAP Revista de lepidopterologíaOpen Access

Convolutional Neural Network Style Transfer Towards Chinese Paintings

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Authors

JSJiachuan ShengTianjin University of Finance and Economics CSCaifeng SongTianjin University of Finance and Economics JWJun WangTianjin University of Finance and Economics

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Implication

Computational study demonstrates automated ink and wash style transfer for digital images, highlighting improved preservation of traditional Chinese painting characteristics.

Key Points

Develop an automated style transfer algorithm that faithfully captures the unique aesthetic and technical characteristics of traditional Chinese ink and wash paintings.
Designed the Chinese Painting Style Transfer (CPST) framework incorporating four core constraints: brush stroke, space reservation, ink diffusion, and yellowing.
Separated convolutional neural network (CNN) layers into dedicated style and content components to preserve source features.
Implemented distinct algorithmic strategies tailored to both fine brushwork and freehand brushwork techniques.
Successfully translated characteristic ink diffusion and traditional painting skills onto target images.
Prevented visual spillovers while generating stylizations rated as visually satisfactory relative to reference aesthetics.

Cite This Study

Sheng et al. (2019) studied this question.

synapsesocial.com/papers/69daa814a6045d71bfa3d809 https://doi.org/10.1109/access.2019.2952616

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Implication

Computational study demonstrates automated ink and wash style transfer for digital images, highlighting improved preservation of traditional Chinese painting characteristics.

Convolutional Neural Network Style Transfer Towards Chinese Paintings

Discussion

Member takes

Implication

Key Points

Cite This Study

Convolutional Neural Network Style Transfer Towards Chinese Paintings

Discussion

Member takes

Implication

Key Points

Cite This Study

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