FaceForensics++
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
FaceForensics++ heavy compression c40
89Accuracy
9
FaceForensics++ Average HQ (test)
97.1AUC (Video-level)
8
FaceForensics++ NeuralTextures HQ (test)
99.3AUC (Video-level)
8
FaceForensics++ Face2Face HQ (test)
99.7Video-level AUC
8
FaceForensics++ FaceSwap HQ (test)
93.2AUC (Video-level)
8
FaceForensics++ raw, c23, c40 (test)
87.8ACC
8
FaceForensics++ raw (test)
99.3Accuracy
8
FaceForensics++ LQ (test)
98.1AUC (Video-level)
7
FaceForensics++ LQ c40 (test)
81.57Accuracy
7
FaceForensics++ HQ c23 (test)
92.39Accuracy
7
FaceForensics++ Hidden Benchmark low quality (test)
96.36Precision (DF)
7
FaceForensics++ Cross-manipulation
100DF AUC
6
FaceForensics++ c23
83.99DF Accuracy
6
FaceForensics++ C23 17 (sampled 100 videos)
0.678PLCC
6
FaceForensics++ with unseen corruptions (test)
99.9AUC (Clean)
6
FaceForensics++ GID Face2Face HQ
87.93Accuracy
6
FaceForensics++ DeepFake (c23)
99.39AUC
6
FaceForensics++ (test)
1.13RFPR @ 1%
5
FaceForensics++ FaceSwap
0.999AUC
5
FaceForensics++ HQ NT (train)
96.71AUC (DF)
5
FaceForensics++ HQ FS (train)
96.39AUC (DF)
5
FaceForensics++ HQ F2F (train)
96.94AUC (DF)
5
FaceForensics++ HQ DF (train)
99.98AUC (DF)
5
FaceForensics++ GID-F2F LQ (Face2Face)
73.22Accuracy
5
FaceForensics++
98.27Reconstruction Score
5