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English(EN) Do Image Editors Follow Depth-Dependent Blur and Aperture Response? A Rendered-Ground-Truth Pilot Audit

研究发现：AI图像编辑器未能准确模拟光学模糊

作者 PulseAugur 编辑部 · [1 个来源] ·

对图像编辑工具Gemini 3.1 Flash Image和GPT-image-2.5的试点审计显示，它们未能准确模拟薄透镜光学所描述的依赖于深度的模糊和光圈响应。当要求产生f/1.4效果时，与用作真实情况的渲染引擎Blender Cycles的结果不同，这些编辑器添加的模糊并未像预期的那样随着光圈变化或深度正确缩放。提示中的定性措辞对模糊强度影响远大于具体的f值要求，表明用户输入与光学模拟之间存在脱节。 AI

影响 凸显了当前AI图像生成模型在真实光学模拟方面的局限性，指出了在依赖于深度的模糊和光圈响应方面的改进方向。

排序理由 研究论文分析AI模型能力。[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 →

研究发现：AI图像编辑器未能准确模拟光学模糊

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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zhihan Chen, Yuhuan Zhao, Yijie Zhu, Xinyu Yao, Mengcong Ren, Yuchen Sun, Yunqing Chen ·

    图像编辑器是否遵循依赖于深度的模糊和光圈响应？一项渲染真实情况的试点审计

    arXiv:2610.09344v1 Announce Type: new Abstract: General image editors are asked to make a photo look as if it were taken at f/1.4, yet it is rarely checked whether the blur they add follows thin-lens optics. A physical aperture edit spreads blur across depth in thin-lens proporti…

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