Learning to Recognize Patch-Wise Consistency for Deepfake Detection

Tianchen Zhao
Tianchen Zhao
Xiang Xu
Xiang Xu
Mingze Xu
Mingze Xu
Hui Ding
Hui Ding
Cited by: 0|Views11

Abstract:

We propose to detect Deepfake generated by face manipulation based on one of their fundamental features: images are blended by patches from multiple sources, carrying distinct and persistent source features. In particular, we propose a novel representation learning approach for this task, called patch-wise consistency learning (PCL). It...More

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