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Found 3 papers, 2 papers with code
Rethinking Gradient Operator for Exposing AI-enabled Face Forgeries
Moreover, MTA module considers two dimensions, namely channel and manipulation traces, to force the network to learn the distribution of manipulation traces.
Exposing Deepfake Face Forgeries with Guided Residuals
Different from existing prediction based residual extraction methods, we propose a manipulation trace extractor (MTE) to directly remove the content features and preserve manipulation traces.
Fake face detection via adaptive manipulation traces extraction network
Thus, we propose an adaptive manipulation traces extraction network (AMTEN), which serves as pre-processing to suppress image content and highlight manipulation traces.
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