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Characterizing the Realism and Artifacts of Images Generated by Diffusion Models

💡 原文英文，约100词，阅读约需1分钟。
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内容提要

本研究探讨了扩散模型生成图像的真实感与伪影之间的矛盾，并分析了公众对AI生成图像的信任。实验结果表明，场景复杂性、伪影类型、展示时间和人工筛选显著影响识别真实与AI图像的准确性。

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标签

AI图像 diffusion models 伪影 公众信任 扩散模型 真实感
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