Star on GitHubStar1.1k stars

2026 · Conference accepted

From Visual Widgets to UI Code: Efficient Tool-Grounded Generation

WidgetGen reconstructs widget screenshots as React JSX. OCR text boxes and color palettes guide whole-widget layout reasoning and optional chart generation before one terminal render; generated render/code pairs also support model fine-tuning.

Scope and limitations

The main comparison uses six models and 1,000 test widgets from one dataset. Its nine image-based metrics do not test interaction, accessibility or maintainability. The supervision experiment covers six Qwen-family checkpoints; broader UI and model-family generalization remains open.

Why it fits this collection

Studies evidence-assisted recovery of executable interface code from compact visual references.

Publication and review details

Venue
MUCG @ ECCV 2026
Status
Conference accepted
Publication / posting date
2026 (exact date not verified)
Date source
The official 2026 MUCG workshop program confirms inclusion; a proceedings publication date was not verified.
First arXiv submission
August 12, 2026
arXiv
2608.12611
Reviewed arXiv version
v1
DOI
10.48550/arXiv.2608.12611

The official MUCG 2026 program lists this paper; proceedings publication was not verified, and OpenReview required browser verification. The arXiv paper is CC BY 4.0. No dedicated implementation or weight link was found in the reviewed paper/program; Widget2Code is the separate benchmark source.

Sources reviewed

Reviewed against the paper and its primary sources. Cite the original authors using the linked paper or BibTeX.

Report an outdated entry Suggest a translation fix

Primary sources

  1. https://arxiv.org/abs/2608.12611v1
  2. https://arxiv.org/html/2608.12611v1
  3. https://mllm-mucg.github.io/ECCV2026/
↑↓ move↵ open⌘↵ new tab