A Drawing Support System for Sketching Aging Anime Faces

Sicheng Li, Haoran Xie, Xi Yang, Chia-Ming Chang, Kazunori Miyata

Abstract: Drawing the facial features of anime characters at different ages is challenging in the creation process. Since characters’ facial features at different ages have obvious differences, it is difficult, especially for novices to accurately illustrate the age features of anime characters. Conventional data-driven drawing interfaces for anime characters focus on the visual features of hair, emotion, and coloring but fail to provide age-specific drawing guidance. To address this gap, we propose AgeFace, an interactive drawing interface that assists users in creating facial features with age-specific features based on user input strokes. We evaluated the usability of AgeFace by a user experience experiment and a comparison experiment with baseline approaches. The results verified that AgeFace could achieve better performance in usability and better support in the creative process than baseline systems.