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English(EN) Face-trace: Open-Set Attribution and Progressive Discovery of Synthetic Face Generators

Face-trace 管道实现了合成人脸生成器的开放集归因

研究人员开发了一种名为 Face-trace 的新管道,用于开放集合成人脸来源归因。该方法可以识别合成人脸图像的生成器,即使在训练期间不知道该生成器。Face-trace 结合了已知生成器分类、基于能量的分布外拒绝和未知生成器发现,在闭集和开放集场景中均取得了高精度。该系统在有新生成器随时间出现的情况下,在增量设置中也显示出有效性。 AI

影响 通过提供识别合成人脸来源的工具,增强了多媒体取证能力,这对于打击深度伪造和虚假信息至关重要。

排序理由 这是一篇详细介绍合成人脸生成器归因新方法的学术论文。

在 arXiv cs.CV 阅读 →

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Face-trace 管道实现了合成人脸生成器的开放集归因

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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Alessia Infantino, Claudio Schiavella, Irene Amerini ·

    Face-trace:开放集人脸属性与合成人脸生成器的渐进式发现

    arXiv:2607.07545v1 Announce Type: new Abstract: Recent advances in generative Artificial Intelligence have made synthetic face images increasingly realistic, creating new challenges for multimedia forensics. Source attribution methods should not only identify the generator of an …

  2. arXiv cs.CV TIER_1 English(EN) · Irene Amerini ·

    Face-trace:开放集人脸属性识别与合成人脸生成器渐进式发现

    Recent advances in generative Artificial Intelligence have made synthetic face images increasingly realistic, creating new challenges for multimedia forensics. Source attribution methods should not only identify the generator of an image when the source is known, but also handle …