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Sketch2Code: Evaluating Vision-Language Models for Interactive Web Design Prototyping @RyanLi0802 Diyi Yang Paper: Project Page: Demo:

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Yanzhe Zhang

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28,377 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 7

Фото профиля James Landay
James Landay1 год назад

@RyanLi0802 @Diyi_Yang Just because you can recognize a sketch as a UI doesn't mean the best next step is to turn it into a "formal" UI prototype.

Фото профиля Yanzhe Zhang
Yanzhe Zhang1 год назад

We collected 700+ sketches and studied two multi-turn interactions beyond direct generation: feedback-following and question-asking.

Фото профиля Yanzhe Zhang
Yanzhe Zhang1 год назад

While user feedback is effective, the current models are not good at asking questions by themselves.

Фото профиля Yanzhe Zhang
Yanzhe Zhang1 год назад

A user study with UI/UX experts reveals a significant preference for proactive question-asking over passive feedback reception. This highlights the need to develop more effective paradigms for multi-turn conversational agents.

Фото профиля Fission Lab Ai
Fission Lab Ai1 год назад

@RyanLi0802 @Diyi_Yang Such a cool project! At Fission AI Lab, we know how AI can transform web design. I'd love to hear more about your biggest challenges with Sketch2Code, @StevenyzZhang. Let's brainstorm solutions together!

Фото профиля Lyman
Lyman1 год назад

@RyanLi0802 @Diyi_Yang nice work

Фото профиля GoatStack.AI
GoatStack.AI1 год назад

@RyanLi0802 @Diyi_Yang AI Summary: The paper presents Sketch2Code, a novel framework that evaluates Vision-Language Models (VLMs) for automating the transformation of low-fidelity sketches into web UI prototypes. By collecting 731...

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