DualFace:Two-stage drawing guidance for freehand portrait sketching  

作　　者：Zhengyu Huang Yichen Peng Tomohiro Hibino Chunqi Zhao Haoran Xie Tsukasa Fukusato Kazunori Miyata 

机构地区：[1]Japan Advanced Institute of Science and Technology,Ishikawa,9231211,Japan [2]The University of Tokyo,Tokyo,1138654,Japan.

出　　处：《Computational Visual Media》2022年第1期63-77,共15页计算可视媒体（英文版）

基　　金：supported by Grant from Tateishi Science and Technology Foundation,JSPS KAKENHI grant JP20K19845 and JP19K20316,Japan.

摘　　要：Special skills are required in portrait painting, such as imagining geometric structures and facial detail for final portrait designs. This makes it a difficult task for users, especially novices without prior artistic training, to draw freehand portraits with high-quality details. In this paper, we propose dualFace, a portrait drawing interface to assist users with different levels of drawing skills to complete recognizable and authentic face sketches. Inspired by traditional artist workflows for portrait drawing, dualFace gives two-stages of drawing assistance to provide global and local visual guidance. The former helps users draw contour lines for portraits (i.e., geometric structure), and the latter helps users draw details of facial parts, which conform to the user-drawn contour lines. In the global guidance stage, the user draws several contour lines, and dualFace then searches for several relevant images from an internal database and displays the suggested face contour lines on the background of the canvas. In the local guidance stage, we synthesize detailed portrait images with a deep generative model from user-drawn contour lines, and then use the synthesized results as detailed drawing guidance. We conducted a user study to verify the effectiveness of dualFace, which confirms that dualFace significantly helps users to produce a detailed portrait sketch.

关 键 词：portrait painting user interface freehand sketching generative model drawing guidance 

分 类 号：J205[艺术—美术] TP391.41[自动化与计算机技术—计算机应用技术]