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Face Forgery Detection research benchmarks – Page 5 · SOTA2 Research

Face Forgery Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

FF++ leave-one-out manipulation HQ (test)

99.7Avg Video-level AUC

4

Feb 26, 2026

0.873AUC

4

Feb 26, 2026

FaceForensics++ DF (test)

0.955AUC

4

Feb 26, 2026

76.44AUC

4

Feb 26, 2026

FF++ (FaceForensics++) Cross-manipulation (leave-one-out)

98.3Accuracy (DF)

3

Mar 26, 2026

GenFace Diffae (test)

99.96Accuracy

2

May 12, 2026

GenFace DiffFace (test)

92.64Accuracy

2

May 12, 2026

GenFace CollDiff (test)

61.97Accuracy

2

May 12, 2026

Page 5 of 5

Popular datasets

FaceForensics++FaceForensics DF40 ASFD GenFace

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