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. dualFace consists of two-stage drawing assistance to provide global and local visual guidance: global guidance, which helps users draw contour lines of portraits (i.e., geometric structure), and local guidance, which helps users draws details of facial parts (which conform to user-drawn contour lines), inspired by traditional artist workflows in portrait drawing. In the stage of global guidance, the user draws several contour lines, and dualFace then searches several relevant images from an internal database and displays the suggested face contour lines over the background of the canvas. In the stage of local guidance, we synthesize detailed portrait images with a deep generative model from user-drawn contour lines, but use the synthesized results as detailed drawing guidance. We conducted a user study to verify the effectiveness of dualFace, and we confirmed that dualFace significantly helps achieve a detailed portrait sketch. see http://www.jaist.ac.jp/~xie/dualface.html
翻译:在本文中,我们提出双面图象界面,以协助具有不同水平绘图技能的用户完成可识别和真实面部草图的图象。双面图象包括两阶段绘图协助,以提供全球和地方的视觉指导:全球指导,帮助用户绘制肖像的轮廓线(即几何结构),以及地方指导,帮助用户根据肖像画中传统艺术家工作流程的启发,绘制面部(符合用户拖线)细节(符合用户拖线)。在全球指导阶段,用户绘制了几条等距线,双面图象从内部数据库搜索若干相关图像,并在画布背景上展示了建议的面部线。在地方指导阶段,我们用用户拖线形图象的深色化模型合成了详细的肖像图象,但将综合结果用作详细的绘图指导。我们进行了用户研究,以核实双面图象的效果,我们确认双面法大有助于完成详细的肖像图。见http://www.jaist.ac.jp/yxi/difal。