luo11creator/deepfake_fight

近年来,以深度伪造(Deepfake)为代表的生成式人工智能技术进入爆发式增长阶段。在人脸方面,基于生成对抗网络(GAN)、自编码器与扩散模型(Diffusion)的换脸、人脸重建、人脸编辑技术已经能够生成肉眼难以分辨的伪造图像与视频。为此,我们自研了 GuardFusion 多模态融合检测模型, 在模型结构上,我们首先通过投影层将视觉 1280 维、音频 32 维、文本 512 维的差异化特征,统一映射至 256 维公共特征空间, 同时创新引入瓶颈融合 Transformer 机制,摒弃传统全量跨模态注意力的高开销结构,通过少量可学习瓶颈 Token 完成跨模态信息交互,将计算复杂度从 O(N²) 降至 O(3·N·B)。在保留多模态融合能力的同时,大幅轻量化模型。

GitHub repository with 22 stars and 1 forks.

Language: Java

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2026-11-02: 22 stars and 1 forks.

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