Parametric hair model for digital hair generation

A computing device comprising:

• a processing device;
• and
• a computer-readable medium storing instructions that, in response to execution by the processing device, cause the processing device to perform operations including:
• receive a shape parameter representative of an overall shape of a hair model and a style parameter representative of local strand details of the hair model;
• generate, using a machine-learning model, a geometry texture based on the shape parameter and the style parameter, the geometry texture including a two-dimensional (2D) texture map of the overall shape and local strand details for the hair model in a frequency domain;
• and
• sample and transform the geometry texture from the frequency domain to a spatial domain to generate the hair model.

One or more computer-readable media storing instructions that, responsive to execution by a processing device, causes the processing device to perform operations comprising:

• receiving a shape parameter representative of an overall shape of a hair model and a style parameter representative of local strand details of the hair model;
• generating, using a machine-learning model, guide strands based on the shape parameter, the guide strands providing a sparse representation of the hair model;
• generating, using the machine-learning model, wisps based on the style parameter, the wisps providing local strand details for the hair model;
• and
• generating, by the processing device, the hair model by interpolating the wisps onto the guide strands.