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Converting user interfaces into code (UI2Code) is a crucial step in website development, which is time-consuming and labor-intensive. The automation of UI2Code is essential to streamline this task, beneficial for improving the development…

Software Engineering · Computer Science 2025-06-13 Fan Wu , Cuiyun Gao , Shuqing Li , Xin-Cheng Wen , Qing Liao

Transforming a graphical user interface screenshot created by a designer into computer code is a typical task conducted by a developer in order to build customized software, websites, and mobile applications. In this paper, we show that…

Machine Learning · Computer Science 2017-09-20 Tony Beltramelli

Multimodal Large Language Models (MLLMs) have demonstrated strong performance on the UI-to-code task, which aims to generate UI code from design mock-ups. However, when applied to long and complex websites, they often struggle with…

Software Engineering · Computer Science 2026-02-24 Jingyu Xiao , Jiantong Qin , Shuoqi Li , Man Ho Lam , Yuxuan Wan , Jen-tse Huang , Yintong Huo , Michael R. Lyu

Multi-page websites dominate modern web development. However, existing design-to-code methods rely on simplified assumptions, limiting to single-page, self-contained webpages without external resource connection. To address this gap, we…

Software Engineering · Computer Science 2024-12-23 Yuxuan Wan , Yi Dong , Jingyu Xiao , Yintong Huo , Wenxuan Wang , Michael R. Lyu

Using vision-language models (VLMs) in web development presents a promising strategy to increase efficiency and unblock no-code solutions: by providing a screenshot or a sketch of a UI, a VLM could generate the code to reproduce it, for…

Human-Computer Interaction · Computer Science 2024-03-15 Hugo Laurençon , Léo Tronchon , Victor Sanh

Multimodal Large Language Models have demonstrated exceptional performance in UI2Code tasks, significantly enhancing website development efficiency. However, these tasks incur substantially higher computational overhead than traditional…

Software Engineering · Computer Science 2025-09-16 Jingyu Xiao , Zhongyi Zhang , Yuxuan Wan , Yintong Huo , Yang Liu , Michael R. Lyu

Automating the transformation of user interface (UI) designs into front-end code holds significant promise for accelerating software development and democratizing design workflows. While multimodal large language models (MLLMs) can…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Yilei Jiang , Yaozhi Zheng , Yuxuan Wan , Jiaming Han , Qunzhong Wang , Michael R. Lyu , Xiangyu Yue

Automating the synthesis of User Interfaces (UIs) plays a crucial role in enhancing productivity and accelerating the development lifecycle, reducing both development time and manual effort. Recently, the rapid development of Multimodal…

Software Engineering · Computer Science 2025-05-26 Yi Gui , Zhen Li , Zhongyi Zhang , Yao Wan , Dongping Chen , Hongyu Zhang , Yi Su , Bohua Chen , Xing Zhou , Wenbin Jiang , Xiangliang Zhang

Approximately 50% of development resources are devoted to UI development tasks [9]. Occupying a large proportion of development resources, developing icons can be a time-consuming task, because developers need to consider not only effective…

Human-Computer Interaction · Computer Science 2022-04-20 Sidong Feng , Minmin Jiang , Tingting Zhou , Yankun Zhen , Chunyang Chen

Multimodal large language models (MLLMs) have streamlined front-end interface development by automating code generation. However, these models also introduce challenges in ensuring code quality. Existing approaches struggle to maintain both…

Software Engineering · Computer Science 2025-06-17 Yunnong Chen , Shixian Ding , YingYing Zhang , Wenkai Chen , Jinzhou Du , Lingyun Sun , Liuqing Chen

Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in automated front-end engineering, e.g., generating UI code from visual designs. However, existing front-end UI code generation benchmarks have the…

Software Engineering · Computer Science 2026-03-17 Jingyu Xiao , Ming Wang , Man Ho Lam , Yuxuan Wan , Junliang Liu , Yintong Huo , Michael R. Lyu

Multimodal large language models (MLLMs) have shown impressive success across modalities such as image, video, and audio in a variety of understanding and generation tasks. However, current MLLMs are surprisingly poor at understanding…

Automatically generating webpage code from webpage designs can significantly reduce the workload of front-end developers, and recent Multimodal Large Language Models (MLLMs) have shown promising potential in this area. However, our…

Computer Vision and Pattern Recognition · Computer Science 2025-02-25 Yi Gui , Zhen Li , Yao Wan , Yemin Shi , Hongyu Zhang , Yi Su , Bohua Chen , Dongping Chen , Siyuan Wu , Xing Zhou , Wenbin Jiang , Hai Jin , Xiangliang Zhang

Declarative UI frameworks have gained widespread adoption in mobile app development, offering benefits such as improved code readability and easier maintenance. Despite these advantages, the process of translating UI designs into functional…

Software Engineering · Computer Science 2024-09-19 Ting Zhou , Yanjie Zhao , Xinyi Hou , Xiaoyu Sun , Kai Chen , Haoyu Wang

Dynamic Chart Generation (DCG) involves producing code-rendered animated visualizations as charts. While recent advances in multi-modal large language models (MLLMs) have significantly improved their capability on static chart generation…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Bozheng Li , Miao Yang , Zhenhan Chen , Jiawang Cao , Mushui Liu , Yi Lu , Yongliang Wu , Bin Zhang , Yangguang Ji , Licheng Tang , Jay Wu , Wenbo Zhu

For a full-stack web or app development, it requires a software firm or more specifically a team of experienced developers to contribute a large portion of their time and resources to design the website and then convert it to code. As a…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Somoy Subandhu Barua , Imam Mohammad Zulkarnain , Abhishek Roy , Md. Golam Rabiul Alam , Md Zia Uddin

While large language models (LLMs) have been widely applied to code generation, they struggle with generating entire deep learning projects, which are characterized by complex structures, longer functions, and stronger reliance on domain…

Software Engineering · Computer Science 2025-04-22 Chen Xie , Mingsheng Jiao , Xiaodong Gu , Beijun Shen

Developing 3D games requires specialized expertise across multiple domains, including programming, 3D modeling, and engine configuration, which limits access to millions of potential creators. Recently, researchers have begun to explore…

Artificial Intelligence · Computer Science 2025-10-01 Runxin Yang , Yuxuan Wan , Shuqing Li , Michael R. Lyu

The webpage-to-code task requires models to understand visual representations of webpages and generate corresponding code. However, existing benchmarks primarily focus on static screenshot-to-code tasks, thereby overlooking the dynamic…

Generative AI has made rapid advancements in recent years, achieving unprecedented capabilities in multimodal understanding and code generation. This can enable a new paradigm of front-end development in which multimodal large language…

Computation and Language · Computer Science 2025-02-11 Chenglei Si , Yanzhe Zhang , Ryan Li , Zhengyuan Yang , Ruibo Liu , Diyi Yang
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