Generative Strokes: A Parametric Framework for 3D Calligraphic Expression

Le résumé fourni par la source

The expressive power of Chinese calligraphy lies in its gestural dynamics, such as rhythm and velocity, which are implicitly captured in the final 2D form. This paper introduces Generative Strokes, a novel parametric framework that translates these implicit dynamics into explicit and controllable three-dimensional geometry. Our approach models a stroke from its boundary contours, constructing a volumetric representation through a multi-stage generative pipeline. The framework establishes an internal structural scaffold, computes a depth profile for the boundaries based on the integral of their local angular changes, and generates a continuous internal surface by enforcing a geometric orthogonality constraint. This process encodes gestural flow directly into the stroke’s 3D form. Key parameters for depth intensity, flow smoothing, and surface curvature provide direct control over the geometric expression of gestural qualities. This framework offers a new methodology for digital cultural heritage, enabling (1) the quantitative analysis of calligraphic styles, (2) the generation of novel 3D calligraphic sculptures rooted in traditional aesthetics, and (3) new possibilities for interactive educational tools that make the intangible aspects of calligraphy more accessible.

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