人机协作加速广告本地化评估，确保跨语言视觉一致。
Human + AI for Accelerating Ad Localization Evaluation
- 结合场景文本检测、修复、翻译与重置的自动化流程
- 六种语言测试中生成语义准确且视觉连贯的广告
- 适合需快速部署多语言广告的团队使用
将广告适配多语言受众不仅需要文本翻译，还需保持视觉一致性、空间对齐和风格完整性。本文提出一种融合自动化组件与人工监督的结构化框架，首次集成场景文本检测、图像修复、机器翻译（MT）及文本重置，专门用于加速广告本地化评估流程。在六个语境下进行的定性实验表明，该方法生成的本地化广告在语义上准确且视觉上连贯，可直接应用于实际工作流。
原文摘要 · Abstract (English)
Adapting advertisements for multilingual audiences requires more than simple text translation; it demands preservation of visual consistency, spatial alignment, and stylistic integrity across diverse languages and formats. We introduce a structured framework that combines automated components with human oversight to address the complexities of advertisement localization. To the best of our knowledge, this is the first work to integrate scene text detection, inpainting, machine translation (MT), and text reimposition specifically for accelerating ad localization evaluation workflows. Qualitative results across six locales demonstrate that our approach produces semantically accurate and visually coherent localized advertisements, suitable for deployment in real-world workflows.
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