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Found 3 papers, 1 papers with code
EGFE: End-to-end Grouping of Fragmented Elements in UI Designs with Multimodal Learning
Grouping these fragmented elements can greatly improve the readability and maintainability of the generated code.
Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation
However, in some domain-specific scenarios, building such a large paired corpus for code generation is difficult because there is no directly available pairing data, and a lot of effort is required to manually write the code descriptions to construct a high-quality training dataset.
ULDGNN: A Fragmented UI Layer Detector Based on Graph Neural Networks
While some work attempt to generate front-end code intelligently from UI screenshots, it may be more convenient to utilize UI design drafts in Sketch which is a popular UI design software, because we can access multimodal UI information directly such as layers type, position, size, and visual images.
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