Generating anime-like face images from projected 3D models
Keisuke Yamakawa, Suguru Saito · 2018
In this paper, we propose a method that allows users to deform 3D facial model projection images with intuitive parameters for the axes of feature spaces that represent the style used for drawing faces for anime. The spaces are derived from hand-drawn and 3DCG face images with Non-negative Matrix Factorization. The results show typical anime-style features are applied successfully to 3DCG face images.