基于手绘草图的中保真原型自动生成

从手绘草图生成数字化的中保真原型是界面设计的必要步骤，它需要花费设计师大量的时间和精力.针对这一问题，本文提出了基于目标检测和启发式规则的中保真原型自动生成方法，并基于该方法实现了一个自动化工具.首先，本文提出基于置换注意力机制(SA)的目标检测模型SA-FRCNN对手绘草图中的组件进行检测；然后，提出启发式规则对检测结果进行布局优化.实验表明，本文方法能够提升对手绘草图的检测精度，较基线模型提高了2.3%;此外，本文工具可以有效提高原型设计效率.

Automatic generation of the mid-fidelity prototype based on hand-drawn sketch

Generating digital mid-fidelity prototypes from hand-drawn sketches is a necessary step in User Interface design, which requires a lot of time and energy for designers. In order to solve the problem, this paper proposes an automatic method for generating mid-fidelity prototypes based on object detection and heuristic rules, and implements an automatic tool based on this method. Firstly, an object detection model SA-FRCNN based on the Shuffle Attention (SA) mechanism is proposed to detect components in hand-drawn sketches; and then, heuristic rules are proposed to optimize the layout of the detected results. Experiments show that our method can improve the detection accuracy of hand-drawn sketches by 2.3% compared with the baseline model; in addition, our tool can effectively improve the efficiency of prototyping.