Hierarchical Vectorization for Portrait Images. (arXiv:2205.11880v1 [cs.CV])

Aiming at developing intuitive and easy-to-use portrait editing tools, we
propose a novel vectorization method that can automatically convert raster
images into a 3-tier hierarchical representation. The base layer consists of a
set of sparse diffusion curves (DC) which characterize salient geometric
features and low-frequency colors and provide means for semantic color transfer
and facial expression editing. The middle level encodes specular highlights and
shadows to large and editable Poisson regions (PR) and allows the user to
directly adjust illumination …

arxiv cv hierarchical images vectorization