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 generate code from a single input image with over 77% of accuracy for three different platforms (i.e. iOS, Android and web-based technologies).
| Task | Dataset | Metric | Value | Model |
|---|---|---|---|---|
| Code Generation | RESIDE TestSet-S | F1 (Hidden Test Set) | 159.84 |