Baoyang Chen / Works JSON / Markdown

De Shanshui

2014-2025 / AI Generative Works / Artificial intelligence algorithm generated video

A model learns shanshui as memory, then returns the landscape as a new image tradition.

De Shanshui begins with one of the oldest image forms in Chinese art: mountain and water painting. Chen approaches this tradition through AI and machine learning, 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 generated works are printed on Chinese silk. The surface matters. Silk brings the pixel grid back into contact with a traditional material, letting digital image and cultural memory meet in physical form.

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Images

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AI-generated shanshui image 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

No video listed.