AI Struggles with Song Dynasty Aesthetics: Why Every Design Choice Needs a Reason
sujingshen · x · 2026-08-18
The author tests AI image generation on 'Song Dynasty aesthetics,' finding that while models can produce elements like cyan-green colors, fine lines, and whitespace, they often fail to create a coherent composition. The challenge lies not in adding traditional touches, but in ensuring every layout, color, and negative space serves the content logic. The tests reveal current model limitations: lines don't reliably define forms, coloring doesn't follow objects, and whitespace doesn't automatically create spatial depth. The author illustrates how colors should adhere to compositional relationships and uses the example of 'knowledge accumulation' to explain the importance of choosing a relevant main scene. The full article documents actionable production boundaries derived from these failures.
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