Abstract: Computing machine(s) access an input image of footwear, the input image comprising a pixel or voxel based image. The computing machine(s) generate, based on the input image and using machine learning engines, a 3D (three-dimensional) CAD (computer-aided design) digital asset comprising a NURBS (non-uniform rational basis spline) model of the footwear. Generating the 3D CAD digital asset comprises: identifying, using a trained classification engine, a visual component of the footwear and iteratively fitting, for the visual component of the footwear, a spline using a trained reinforcement learning engine until the spline is within a predefined average distance from the visual component. The 3D CAD digital asset comprises the spline. The machine learning engines comprise the trained classification engine and the trained reinforcement learning engine. The computing machine(s) provide an output representing the 3D CAD digital asset.