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KAIST
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Identity encoders can now achieve human-level performance in recognizing stylized faces, bridging the gap between artistic expression and identity consistency.
Uncover deepfakes by exploiting the tell-tale audio-visual inconsistencies embedded within generative models' cross-attention mechanisms.
