系统梳理人脸深度伪造生成与检测技术，剖析其对生物识别的影响。
Face Deepfakes -- A Comprehensive Review
- 从理论层面分析前沿人脸伪造生成与检测方法
- 评估深度伪造对人脸识别系统的实际威胁
- 梳理正负应用并指出未来研究方向
近年来，深度伪造生成技术取得显著进展，其真实感和能力达到前所未有的水平。尽管如此，针对该技术的系统性深入分析仍显不足。本文旨在对当前最先进的面部深度伪造生成与检测方法进行全面的理论分析，并系统评估深度伪造对人脸生物识别技术的影响。此外，文章还概述了该技术的关键应用场景，阐明其正面与负面用途；深入讨论现有研究的空白，并提出未来值得探索的研究方向。
原文摘要 · Abstract (English)
In recent years, remarkable advancements in deep-fake generation technology have led to unprecedented leaps in its realism and capabilities. Despite these advances, we observe a notable lack of structured and deep analysis deepfake technology. The principal aim of this survey is to contribute a thorough theoretical analysis of state-of-the-art face deepfake generation and detection methods. Furthermore, we provide a coherent and systematic evaluation of the implications of deepfakes on face biometric recognition approaches. In addition, we outline key applications of face deepfake technology, elucidating both positive and negative applications of the technology, provide a detailed discussion regarding the gaps in existing research, and propose key research directions for further investigation.
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