Baoyang Chen / Works JSON / Markdown

De Shanshui

2014-2025 / AI + Art Works / Artist-trained machine learning model, image generation, video generation, silk prints

An artist-trained machine learning model learns shanshui as image generation in 2014, then returns as video generation in 2025.

De Shanshui begins in 2014 with one of the oldest image forms in Chinese art: mountain and water painting. Chen approaches this tradition by training a machine learning model himself, treating the model not as a style filter but as a way to absorb, fracture, and recompose inherited pictorial language.

The work links machine learning to the practice of copying. In Chinese painting, copying is a path of study, memory, and transformation. Here, the trained model becomes a contemporary site of that process.

The 2014 images are generated through this trained model and printed on Chinese silk. In 2025, the project returns as video generation, extending the same question from still image into moving image, memory, and synthetic pictorial time.

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Images

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Shanshui image generated through an artist-trained machine learning model and printed on Chinese silk.
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Detail of silk texture, where digital image and traditional support meet.
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Multiple generated landscapes show how the model recomposes inherited pictorial rules.
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Seals, landscape forms, and tonal fragments detach from their historical settings and enter a new composition.
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Portfolio spread from the De Shanshui section, documenting the project's long-running development.
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Videos

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