AI RESEARCH
UI2Code^N: UI-to-Code Generation as Interactive Visual Optimization
arXiv CS.CV
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ArXi:2511.08195v3 Announce Type: replace UI-to-code aims to translate UI screenshots into executable front-end code. Despite progress with vision-language models (VLMs), most existing methods formulate UI-to-code as a single-pass generation, which mismatches real-world UI development that is inherently iterative and feedback-driven. We reformulate UI-to-code as an interactive visual optimization problem, where code generation is embedded in a closed-loop process of execution, visual inspection, and iterative refinement driven by rendered visual feedback.