TaoD2C-Bench: Benchmarking MLLMs for Industrial UI Code Generation Beyond Visual Fidelity

arXiv:2610.10374 · cs.SE, cs.AI · Submitted 2026-10-07 · Read on arXiv

cs.SE, cs.AI

Submitted: 2026-10-07

Updated: 2026-10-07

Comments: 26 pages

Code: https://github.com/airbnb/javascript

Project page: https://taod2c-bench.github.io

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmarking — 1× in this paper · explained in 4 episodes
• Fidelity — 1× in this paper · explained in 2 episodes

Sources

• VisRefiner: Learning from Visual Differences for Screenshot-to-Code Generation
• Advancing vision-language models in front-end development via data synthesis
• WebRenderBench: Enhancing Web Interface Generation through Layout-Style Consistency and Reinforcement Learning
• Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset
• Automated Reporting of GUI Design Violations for Mobile Apps
• DINOv2: Learning Robust Visual Features without Supervision
• FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow
• UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated Feedback
• DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation
• WebVIA: A Web-based Vision-Language Agentic Framework for Interactive and Verifiable UI-to-Code Generation
• 1D-Bench: A Benchmark for Iterative UI Code Generation with Visual Feedback in Real-World
• UI2Code^N: UI-to-Code Generation as Interactive Visual Optimization
• The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
• UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization
• Bridging Design and Development with Automated Declarative UI Code Generation

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