A Transfer Learning for Line-Based Portrait Sketch

A Transfer Learning for Line-Based Portrait Sketch

Blog Article

This paper presents a transfer learning-based framework that produces line-based portrait sketch images from portraits.The proposed framework produces sketch images using a GAN architecture, which is trained through a pseudo-sketch image Sets dataset.The pseudo-sketch image dataset is constructed from a single artist-created portrait sketch using a style transfer model with a series of postprocessing schemes.The proposed framework successfully produces portrait sketch images Thermometers - Digital Thermometers for portraits of various poses, expressions and illuminations.

The excellence of the proposed model is proved by comparing the produced results with those from the existing works.