This paper introduces a process for generating abstract portrait drawings from pictures. Their unique style is created by utilizing single freehand pattern sketches as references to generate unique patterns for shading. The method involves extracting facial and body features from images and transforming them into vector lines. A key aspect of the research is the development of a graph neural network architecture designed to learn sketch stroke representations in vector form, enabling the generation of diverse stroke variations. The combination of these two approaches creates joyful abstract drawings that are realized via a pen plotter. The presented process garnered positive feedback from an audience of approximately 280 participants.

翻译：本文介绍了一种从照片生成抽象肖像画的过程。其独特风格通过利用单一手绘涂鸦图案作为参考，生成独特的阴影图案来实现。该方法涉及从图像中提取面部和身体特征，并将其转化为矢量线条。研究的一个关键方面是设计了一种图神经网络架构，旨在学习矢量形式的素描笔画表示，从而生成多样化的笔画变体。这两种方法的结合创造出通过笔式绘图仪实现的趣味抽象画作。所提出的流程在大约280名参与者中获得了好评。