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arXiv 2609.34232cs.CV

可信的合成视觉媒体:贯穿媒体生命周期的证据

Trustworthy synthetic visual media: Evidence across the media lifecycle

  • Tencent WeChat AI(腾讯微信人工智能)

机构由 AI 辅助整理,请以论文原文为准。

Zexi Jia, Zhiqiang Yuan, Jie Zhou, Jinchao Zhang

AI总结:

本文综述了合成视觉媒体的可信性证据,指出信任需依赖贯穿媒体生命周期的多重证据而非单一标记,并强调证据需适合问题、可及且可修正。

AI中文摘要:

图像和视频长期以来帮助人们理解发生了什么以及作品是如何形成的。生成系统使这一角色变得复杂。现在可以制作和修改逼真的媒体,而不留下稳定的历史,因此外观不再能揭示场景是被拍摄、合成还是中途被篡改。信任必须转而依赖于解释资产所经历路径及其使用环境的证据。其中一些证据可以从媒体中恢复,而另一些则必须在生产过程中记录,并在资产流通时加以保存。本综述将这些方法汇集在一起,并探讨在常规处理或故意操纵之后,这些证据的主张何时仍然有意义。我们认为,可信媒体并不依赖于某一种通用的真实性标记。证据必须适合当前的问题,到达做出判断的人手中,并在出现更好信息时保持开放以进行修正。更大的目标是,即使媒体本身不断变化,也要保持媒体历史的可理解性。

英文摘要:

Images and videos have long helped people understand what happened and how a work came into being. Generative systems complicate that role. Realistic media can now be produced and revised without leaving a stable history, so appearance no longer reveals whether a scene was captured, synthesized, or altered along the way. Trust must instead come from evidence that explains the path an asset has taken and the circumstances in which it was used. Some of this evidence can be recovered from the media, while some must be recorded during production and preserved as the asset circulates. This review brings those approaches together and asks when their claims remain meaningful after ordinary processing or deliberate manipulation. We argue that trustworthy media do not depend on one universal marker of authenticity. The evidence must suit the question at hand, reach the person making the judgment, and remain open to correction when better information emerges. The larger goal is to keep the history of media intelligible even as the media itself continues to change.

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