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Pix2code: Generating Code From A Graphical User Interface Screenshot

Tony Beltramelli . Arxiv 2017 – 52 citations

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Applications Compositional Generalization Content Enrichment Variational Autoencoders Visual Question Answering

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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