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Tony Beltramelli
Abstract
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).
Code Repositories
ZvezdocheTag/variable-ui
Mentioned in GitHub
pranayanand123/Design2Code
Mentioned in GitHub
tonybeltramelli/pix2code
Official
Mentioned in GitHub
badaro48/documents
Mentioned in GitHub
RAHUL-KESHERVANI/my_pix2code
Mentioned in GitHub
kevinleewy/pytorch_pix2code
pytorch
Mentioned in GitHub
ThomasVandendijk/capita_selecta_pix2code
Mentioned in GitHub
steve-levesque/Portfolio-AI-DesignToCode
Mentioned in GitHub
Atharva-Phatak/Generating-Webpages-from-Screenshots
pytorch
Mentioned in GitHub
sruthisripathi/ui2c
Mentioned in GitHub
dashweta/MachineLearningPython
tf
Mentioned in GitHub
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| class-level-code-generation-on-reside-testset | - | F1 (Hidden Test Set): 159.84 |
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