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English(EN) Whose Values Are Generated? Measuring Visual Value Leakage in Multilingual Text-to-Image Generation

新基准揭示文本到图像生成中的文化价值泄露

一个名为 VisionValueBench 的新基准已被开发出来,用于衡量文本到图像系统生成图像中嵌入的文化价值观。该基准将霍夫斯泰德的六个文化价值维度操作化,以评估这些系统如何用特定的文化导向来构建中性社会情境。研究发现,即使是价值中性的提示也会导致图像偏向特定的文化价值观,这种现象被称为“视觉价值泄露”,提示语言影响甚微,但地理线索会影响某些维度。 AI

影响 凸显了 AI 图像生成中潜在的偏见,促使开发者超越表面元素考虑文化代表性。

排序理由 学术论文,介绍用于评估 AI 生成图像中文化价值的新基准。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新基准揭示文本到图像生成中的文化价值泄露

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学术论文,介绍用于评估 AI 生成图像中文化价值的新基准。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zucan Lyu, Binwei Yao, Rheeya Uppaal, Jing Yao, Xiaoyuan Yi, Junjie Hu ·

    生成的是谁的价值观?衡量多语言文生图模型中的视觉价值泄露

    arXiv:2611.05578v1 Announce Type: new Abstract: Text-to-image (T2I) systems serve users across languages and cultural contexts. However, evaluations of cultural representation focus mainly on recognizable elements such as landmarks, clothing, and activities, overlooking the cultu…