Auto-Icon: An Automated Code Generation Tool for Icon Designs Assisting In UI Development
Sidong Feng, Suyu Ma, Jinzhong Yu, Chunyang Chen, TingTing Zhou, Yankun Zhen

26th ACM International Conference on Intelligent User Interfaces (IUI '21)
Session: Interactive Design

Abstract
Approximately 50% of development resources are devoted to UI development tasks [8]. Occupied a large proportion of development resources, developing icons can be a time-consuming task, because developers need to consider not only effective implementation methods but also easy-to-understand descriptions. In this study, we define 100 icon classes through an iterative open coding for the existing icon design sharing website. Based on a deep learning model and computer vision methods, we propose an approach to automatically convert icon images to fonts with descriptive labels, thereby reducing the laborious manual effort for developers and facilitating UI development. We quantitatively evaluate the quality of our method in the real world UI development environment and demonstrate that our method offers developers accurate, efficient, readable, and usable code for icon images, in terms of saving 65.2% developing time.

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Pre-recorded presentation videos for IUI 2021.

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