{"ID":2844286,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.06251","arxiv_id":"2511.06251","title":"WebVIA: A Web-based Vision-Language Agentic Framework for Interactive and Verifiable UI-to-Code Generation","abstract":"User interface (UI) development requires translating design mockups into functional code, a process that remains repetitive and labor-intensive. While recent Vision-Language Models (VLMs) automate UI-to-Code generation, they generate only static HTML/CSS/JavaScript layouts lacking interactivity. To address this, we propose WebVIA, the first agentic framework for interactive UI-to-Code generation and validation. The framework comprises three components: 1) an exploration agent to capture multi-state UI screenshots; 2) a UI2Code model that generates executable interactive code; 3) a validation module that verifies the interactivity. Experiments demonstrate that WebVIA-Agent achieves more stable and accurate UI exploration than general-purpose agents (e.g., Gemini-2.5-Pro). In addition, our fine-tuned WebVIA-UI2Code models exhibit substantial improvements in generating executable and interactive HTML/CSS/JavaScript code, outperforming their base counterparts across both interactive and static UI2Code benchmarks. Our code and models are available at \\href{https://zheny2751-dotcom.github.io/webvia.github.io/}{\\texttt{https://webvia.github.io}}.","short_abstract":"User interface (UI) development requires translating design mockups into functional code, a process that remains repetitive and labor-intensive. While recent Vision-Language Models (VLMs) automate UI-to-Code generation, they generate only static HTML/CSS/JavaScript layouts lacking interactivity. To address this, we pro...","url_abs":"https://arxiv.org/abs/2511.06251","url_pdf":"https://arxiv.org/pdf/2511.06251v1","authors":"[\"Mingde Xu\",\"Zhen Yang\",\"Wenyi Hong\",\"Lihang Pan\",\"Xinyue Fan\",\"Yan Wang\",\"Xiaotao Gu\",\"Bin Xu\",\"Jie Tang\"]","published":"2025-11-09T06:58:52Z","proceeding":"cs.SE","tasks":"[\"cs.SE\",\"cs.AI\"]","methods":"[\"Language Model\",\"LoRA\"]","has_code":false}