Magic Layouts: Structural Prior for Component Detection in User Interface Designs

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Publication date: June 6, 2021

Dipu Manandhar, Hailin Jin, John Collomosse, John Collomosse

We present Magic Layouts; a method for parsing screenshots or hand-drawn sketches of user interface (UI) layouts. Our core contribution is to extend existing detectors to exploit a learned structural prior for UI designs, enabling robust detection of UI components; buttons, text boxes and similar. Specifically we learn a prior over mobile UI layouts, encoding common spatial co-occurrence relationships between different UI components. Conditioning region proposals using this prior leads to performance gains on UI layout parsing for both hand-drawn UIs and app screenshots, which we demonstrate within the context an interactive application for rapidly acquiring digital prototypes of user experience (UX) designs.

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