pix2code 论文
2018引用 230
Multimodal Machine Learning ApplicationsVideo Analysis and SummarizationAdvanced Image and Video Retrieval Techniques
摘要
Transforming a graphical user interface screenshot created by a designer into computer code is a typical task conducted by a developer in order to build customized software, websites, and mobile applications. In this paper, we show that deep learning methods can be leveraged to train a model end-to-end to automatically reverse engineer user interfaces and generate code from a single input image with over 77% of accuracy for three different platforms (i.e. iOS, Android and web-based technologies).