Papers › pix2code: Generating Code from a Graphical User Interface Screenshot
pix2code: Generating Code from a Graphical User Interface Screenshot
Tony Beltramelli
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).
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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Class-level Code Generation | RESIDE TestSet-S | F1 (Hidden Test Set) | 159.84 | #1 of 1 | Archive leaderboard | report |
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