Face Forgery Detection on DFDC
92.3AUCFaceSwap
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| FaceSwap2021.06 | 92.3 | 92.54 | — | — | — | |
| SeLopVenue=-, Trained on FF++=true2026.01 | 85.3 | — | 90.2 | — | — | |
| GM-DFVenue=ACM MM’25, Trained on FF++=true2026.01 | 84.7 | — | 88.8 | — | — | |
| LAKANInput Type=Frame, Training Set (Real)=true, Training Set (Fake)=false2025.10 | 84.52 | — | — | — | — | |
| Forensics-AdapterVenue=CVPR’25, Trained on FF++=true2026.01 | 84.3 | — | 89.6 | — | — | |
| EffortVenue=ICML’25, Trained on FF++=true2026.01 | 82.5 | — | 88.6 | — | — | |
| DFD-FCGVenue=CVPR 2025, Input Type=Video, Training Set (Real)=true, Training Set (Fake)=true2025.10 | 81.81 | — | — | — | — | |
| UDDVenue=AAAI 2025, Input Type=Frame, Training Set (Real)=true, Training Set (Fake)=true2025.10 | 81.2 | — | — | — | — | |
| RAEVenue=ECCV 2024, Input Type=Frame, Training Set (Real)=true, Training Set (Fake)=false2025.10 | 80.2 | — | — | — | — | |
| SimSwap2021.06 | 78.8 | 78.44 | — | — | — | |
| FaceShifter2021.06 | 77.18 | 76.5 | — | — | — | |
| SeeABLEVenue=ICCV 2023, Input Type=Frame, Training Set (Real)=true, Training Set (Fake)=false2025.10 | 75.9 | — | — | — | — | |
| UDDVenue=AAAI’25, Trained on FF++=true2026.01 | 75.8 | — | — | — | — | |
| FreqBlenderVenue=NeurIPS 2024, Input Type=Frame, Training Set (Real)=true, Training Set (Fake)=false2025.10 | 74.59 | — | — | — | — | |
| AUNetVenue=CVPR 2023, Input Type=Frame, Training Set (Real)=true, Training Set (Fake)=false2025.10 | 73.82 | — | — | — | — | |
| LSDAVenue=CVPR’24, Trained on FF++=true2026.01 | 73.6 | — | 82.6 | — | — | |
| SBIVenue=CVPR 2022, Input Type=Frame, Training Set (Real)=true, Training Set (Fake)=false2025.10 | 72.42 | — | — | — | — | |
| EDVenue=AAAI’24, Trained on FF++=true2026.01 | 72.1 | — | — | — | — | |
| UCFVenue=ICCV’23, Trained on FF++=true2026.01 | 71.9 | — | 76.3 | — | — | |
| LFWSMethod Category=Method 2: Fusion, Training Dataset=FF++ (c23)2026.05 | 71.72 | — | — | — | — | |
| RecceVenue=CVPR’22, Trained on FF++=true2026.01 | 71.3 | — | 75.2 | — | — | |
| XceptionVenue=ICCV’19, Trained on FF++=true2026.01 | 70.8 | — | 75.5 | — | — | |
| LFWLMethod Category=Method 2: Fusion, Training Dataset=FF++ (c23)2026.05 | 70.72 | — | — | — | — | |
| LFWSMethod Category=Method 2: Fusion, Training Dataset=DFDCP2026.05 | 70.61 | — | — | — | — | |
| SPSLVenue=CVPR’21, Trained on FF++=true2026.01 | 70.4 | — | 76.7 | — | — | |
| SPSLMethod Category=Frequency-based, Training Dataset=FF++ (c23)2026.05 | 70.24 | — | — | — | — | |
| F3NetVenue=ECCV’20, Trained on FF++=true2026.01 | 70.2 | — | 74.9 | — | — | |
| SRMVenue=CVPR’21, Trained on FF++=true2026.01 | 70 | — | 76 | — | — | |
| LBPMethod Category=Method 1, Training Dataset=FF++ (c23)2026.05 | 69.4 | — | — | — | — | |
| F3NetMethod Category=Frequency-based, Training Dataset=FF++ (c23)2026.05 | 69.38 | — | — | — | — | |
| ResNet-34Method Category=Baseline CNNs, Training Dataset=FF++ (c23)2026.05 | 69.32 | — | — | — | — | |
| XceptionPrivacy Preserving=None, Type=Plain2026.03 | 69.19 | — | — | — | — | |
| EffB4Method Category=Baseline CNNs, Training Dataset=DFDCP2026.05 | 68.9 | — | — | — | — | |
| WDFMethod Category=Method 1, Training Dataset=DFDCP2026.05 | 68.82 | — | — | — | — | |
| XceptionMethod Category=Baseline CNNs, Training Dataset=FF++ (c23)2026.05 | 68.62 | — | — | — | — | |
| SRMMethod Category=Frequency-based, Training Dataset=DFDCP2026.05 | 68.56 | — | — | — | — | |
| SRMMethod Category=Frequency-based, Training Dataset=FF++ (c23)2026.05 | 68.38 | — | — | — | — | |
| WDFMethod Category=Method 1, Training Dataset=FF++ (c23)2026.05 | 68.38 | — | — | — | — | |
| SPSLMethod Category=Frequency-based, Training Dataset=DFDCP2026.05 | 68.09 | — | — | — | — | |
| EfficientNet-B4Method Category=Baseline CNNs, Training Dataset=FF++ (c23)2026.05 | 67.47 | — | — | — | — | |
| XceptMethod Category=Baseline CNNs, Training Dataset=DFDCP2026.05 | 67.44 | — | — | — | — | |
| LFWLMethod Category=Method 2: Fusion, Training Dataset=DFDCP2026.05 | 67.16 | — | — | — | — | |
| LBPMethod Category=Method 1, Training Dataset=DFDCP2026.05 | 67.13 | — | — | — | — | |
| F3NetPrivacy Preserving=None, Type=Freq.2026.03 | 66.61 | — | — | — | — | |
| StegaFFDPrivacy Preserving=HiDDeN, Type=Freq.2026.03 | 66.4 | — | — | — | — | |
| F3NetMethod Category=Frequency-based, Training Dataset=DFDCP2026.05 | 66.12 | — | — | — | — | |
| WengNetFFD Detector=Xception, Type=Plain2026.03 | 64.01 | — | — | — | — | |
| HiNetFFD Detector=Xception, Type=Plain2026.03 | 63.85 | — | — | — | — | |
| HiDDeNFFD Detector=Xception, Type=Plain2026.03 | 63.8 | — | — | — | — | |
| HiNetFFD Detector=F3Net, Type=Freq.2026.03 | 63.4 | — | — | — | — | |
| RNet34Method Category=Baseline CNNs, Training Dataset=DFDCP2026.05 | 63.34 | — | — | — | — | |
| HiDDeNFFD Detector=F3Net, Type=Freq.2026.03 | 63.13 | — | — | — | — | |
| BalujaNetFFD Detector=Xception, Type=Plain2026.03 | 62.61 | — | — | — | — | |
| HifiFaceResolution=2562021.06 | 62.29 | 59.99 | — | — | — | |
| BalujaNetFFD Detector=F3Net, Type=Freq.2026.03 | 61.82 | — | — | — | — | |
| BalujaNetFFD Detector=MesoIncep, Type=Plain2026.03 | 61.41 | — | — | — | — | |
| WengNetFFD Detector=F3Net, Type=Freq.2026.03 | 60.86 | — | — | — | — | |
| HiDDeNFFD Detector=MesoIncep, Type=Plain2026.03 | 60.47 | — | — | — | — | |
| MesoIncepPrivacy Preserving=None, Type=Plain2026.03 | 60.16 | — | — | — | — | |
| Meso4Privacy Preserving=None, Type=Plain2026.03 | 58.89 | — | — | — | — | |
| FalcoFFD Detector=Xception, Type=Plain2026.03 | 58.54 | — | — | — | — | |
| HiNetFFD Detector=MesoIncep, Type=Plain2026.03 | 57.86 | — | — | — | — | |
| Meso4Method Category=Baseline CNNs, Training Dataset=DFDCP2026.05 | 57.29 | — | — | — | — | |
| MesoNet-4Method Category=Baseline CNNs, Training Dataset=FF++ (c23)2026.05 | 57.2 | — | — | — | — | |
| HiDDeNFFD Detector=Meso4, Type=Plain2026.03 | 56.13 | — | — | — | — | |
| SFDAPrivacy Preserving=HiDDeN, Type=Freq.2026.03 | 55.2 | — | — | — | — | |
| FalcoFFD Detector=F3Net, Type=Freq.2026.03 | 52.91 | — | — | — | — | |
| BalujaNetFFD Detector=Meso4, Type=Plain2026.03 | 52.68 | — | — | — | — | |
| WengNetFFD Detector=Meso4, Type=Plain2026.03 | 52.23 | — | — | — | — | |
| HiNetFFD Detector=Meso4, Type=Plain2026.03 | 52.09 | — | — | — | — | |
| SFDA+SDAPrivacy Preserving=HiDDeN, Type=Freq.2026.03 | 52.09 | — | — | — | — | |
| FalcoFFD Detector=Meso4, Type=Plain2026.03 | 50.82 | — | — | — | — | |
| FalcoFFD Detector=MesoIncep, Type=Plain2026.03 | 50.77 | — | — | — | — | |
| WengNetFFD Detector=MesoIncep, Type=Plain2026.03 | 50.74 | — | — | — | — | |
| 3DDet.Venues=TPAMI'232026.03 | — | — | — | 72.4 | — | |
| AltFreezingVenue=CVPR 2023, Explainable=false, Research Topic=Spatial + Temporal2026.04 | — | — | — | 64.75 | — | |
| AUNetVenue=CVPR’232026.01 | — | — | — | 73.8 | — | |
| AUNetVenue=CVPR 2023, Explainable=false, Research Topic=Facial AU2026.04 | — | — | — | 73.82 | — | |
| CADDMVenue=CVPR’232026.01 | — | — | — | 73.9 | — | |
| CLIPTraining Dataset=FaceForensics++, Evaluation Level=frame-level2026.04 | — | — | — | — | 71.3 | |
| CNN-aug2020.12 | — | — | — | 72.1 | — | |
| CNN-GRU2020.12 | — | — | — | 68.9 | — | |
| COREVenue=CVPR 2022, Explainable=false, Research Topic=Augmentation2026.04 | — | — | — | 72.1 | — | |
| CoRITVenues=-2026.03 | — | — | 91 | 87.6 | — | |
| DCLVenue=AAAI 2022, Explainable=false, Research Topic=Contrastive Learning2026.04 | — | — | — | 76.71 | — | |
| DSP-FWA2020.12 | — | — | — | 67.3 | — | |
| Efficientnet-B4Training Dataset=FaceForensics++, Evaluation Level=frame-level2026.04 | — | — | — | — | 70.9 | |
| EffortVenue=ICML’252026.01 | — | — | — | 84.3 | — | |
| EffortVenues=ICML'252026.03 | — | — | 90.3 | 84.3 | — | |
| EffortVenue=ICML 2025, Explainable=false, Research Topic=Fine-tune CLIP-ViT2026.04 | — | — | — | 84.3 | — | |
| EffortTraining Dataset=FaceForensics++, Evaluation Level=frame-level2026.04 | — | — | — | — | 78.4 | |
| F3-NetVenue=ECCV 2020, Explainable=false, Research Topic=Frequency + CNN2026.04 | — | — | — | 67.35 | — | |
| F3NetTraining Dataset=FaceForensics++, Evaluation Level=frame-level2026.04 | — | — | — | — | 70 | |
| Face X-ray2020.12 | — | — | — | 65.5 | — | |
| FFDTraining Dataset=FaceForensics++, Evaluation Level=frame-level2026.04 | — | — | — | — | 71.4 | |
| FIA-USAVenues=NIPS'252026.03 | — | — | — | 74.3 | — | |
| Forensics AdapterTraining Dataset=FaceForensics++, Evaluation Level=frame-level2026.04 | — | — | — | — | 84.3 | |
| FreqBlenderVenue=NeurIPS 2024, Explainable=false, Research Topic=Frequency + Blending2026.04 | — | — | — | 74.59 | — | |
| Ft wholePre-training=Lipreading, Fine-tuning=Full network2020.12 | — | — | — | 70.9 | — | |
| HCILVenues=ECCV'222026.03 | — | — | — | 69.2 | — |