AI-generated image detection on WildRF
99.3FB ScoreHEDGE
Evaluation results
| Method | Links | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HEDGE2026.04 | 99.3 | — | — | — | — | 98.8 | 99.2 | — | — | — | — | — | — | — | — | — | |
| MIRROR2026.04 | 97.1 | — | — | — | — | 96.6 | 96.4 | — | — | — | — | — | — | — | — | — | |
| PiND2025.11 | 96.9 | — | — | — | — | 97.9 | 97.7 | — | — | — | — | — | — | — | — | — | |
| FGINetBackbone=DINOv3 ViT-L/142026.04 | 95.9 | — | — | — | 93.8 | 90.3 | 95.3 | — | — | — | — | — | — | — | — | — | |
| B-Free2026.04 | 95.6 | — | — | — | — | 85.5 | 96.7 | — | — | — | — | — | — | — | — | — | |
| DDA2026.04 | 93.1 | — | — | — | 90.3 | 86.4 | 91.5 | — | — | — | — | — | — | — | — | — | |
| DRCT2026.04 | 90.3 | — | — | — | — | 66.8 | 79.6 | — | — | — | — | — | — | — | — | — | |
| Aligned2026.04 | 89.4 | — | — | — | 80.1 | 69.1 | 81.8 | — | — | — | — | — | — | — | — | — | |
| B-Free2025.11 | 87.8 | — | — | — | — | 76.5 | 88.6 | — | — | — | — | — | — | — | — | — | |
| DDA2025.11 | 86.9 | — | — | — | — | 82.4 | 88.9 | — | — | — | — | — | — | — | — | — | |
| Deep-VRM2026.06 | 85.94 | — | — | 89.51 | — | 91.07 | 91.53 | — | — | — | — | — | — | — | — | — | |
| DDA2026.04 | 85.3 | — | — | — | — | 82.5 | 89.3 | — | — | — | — | — | — | — | — | — | |
| CNN-Spot2025.11 | 84.1 | — | — | — | — | 67.5 | 68.4 | — | — | — | — | — | — | — | — | — | |
| MDMF2026.05 | 80.4 | — | — | 78.6 | — | 77.8 | 77.7 | — | — | — | — | 84.2 | 89.5 | 89.3 | 87.7 | — | |
| NPR2026.04 | 78.1 | — | — | — | 63.5 | 61 | 51.3 | — | — | — | — | — | — | — | — | — | |
| NPR2026.05 | 77.8 | — | — | 64.8 | — | 65.1 | 51.7 | — | — | — | — | 69.4 | 52.5 | 86.3 | 69.4 | — | |
| AIDE2026.06 | 75 | — | — | 59.49 | — | 55.48 | 48 | — | — | — | — | — | — | — | — | — | |
| LaDeDa2026.05 | 70.3 | — | — | 68.3 | — | 74.7 | 59.9 | — | — | — | — | 81.8 | 67.8 | 90.1 | 79.9 | — | |
| FatFormer2026.06 | 64.38 | — | — | 60.34 | — | 76.65 | 40 | — | — | — | — | — | — | — | — | — | |
| DFFreq2025.11 | 62.9 | — | — | — | — | 75.3 | 40.9 | — | — | — | — | — | — | — | — | — | |
| SAFE2026.06 | 62.5 | — | — | 54.84 | — | 61.7 | 40.33 | — | — | — | — | — | — | — | — | — | |
| AIDE2026.04 | 61.6 | — | — | — | — | 66.3 | 52.5 | — | — | — | — | — | — | — | — | — | |
| AIDE2025.11 | 60.3 | — | — | — | — | 61.7 | 63.3 | — | — | — | — | — | — | — | — | — | |
| Effort2025.11 | 60.3 | — | — | — | — | 71.5 | 47 | — | — | — | — | — | — | — | — | — | |
| AIDE2026.04 | 57.8 | — | — | — | 58.4 | 71.5 | 45.8 | — | — | — | — | — | — | — | — | — | |
| C2P-CLIP2026.04 | 54.4 | — | — | — | 59.6 | 68.4 | 55.9 | — | — | — | — | — | — | — | — | — | |
| C2P-CLIP2026.06 | 54.38 | — | — | 56.68 | — | 68.4 | 47.27 | — | — | — | — | — | — | — | — | — | |
| UnivFD2026.04 | 54.1 | — | — | — | — | 55.1 | 66.5 | — | — | — | — | — | — | — | — | — | |
| Fatformer2026.04 | 54.1 | — | — | — | 58.9 | 68.1 | 54.4 | — | — | — | — | — | — | — | — | — | |
| NPR2026.04 | 53.8 | — | — | — | — | 53.7 | 57.7 | — | — | — | — | — | — | — | — | — | |
| FatFormer2026.04 | 52.5 | — | — | — | — | 65.4 | 39.7 | — | — | — | — | — | — | — | — | — | |
| VIB-Net2025.11 | 52.5 | — | — | — | — | 68.9 | 56.2 | — | — | — | — | — | — | — | — | — | |
| C2P-CLIP2026.04 | 51.9 | — | — | — | — | 67.6 | 40.4 | — | — | — | — | — | — | — | — | — | |
| SAFE2025.11 | 50.9 | — | — | — | — | 70.5 | 38.5 | — | — | — | — | — | — | — | — | — | |
| SAFE2026.04 | 50.9 | — | — | — | 57.2 | 74.1 | 37.5 | — | — | — | — | — | — | — | — | — | |
| NPR2025.11 | 50.3 | — | — | — | — | 67.3 | 50.3 | — | — | — | — | — | — | — | — | — | |
| CO-SPY2026.06 | 50 | — | — | 60.03 | — | 56.79 | 73.3 | — | — | — | — | — | — | — | — | — | |
| SAFE2026.04 | 49.7 | — | — | — | — | 49.2 | 34.7 | — | — | — | — | — | — | — | — | — | |
| UniFD2026.04 | 49.1 | — | — | — | 55.3 | 60.2 | 56.5 | — | — | — | — | — | — | — | — | — | |
| Aligned2026.04 | 48.4 | — | — | — | — | 54 | 40.6 | — | — | — | — | — | — | — | — | — | |
| UnivFD2025.11 | 47.2 | — | — | — | — | 66 | 57.1 | — | — | — | — | — | — | — | — | — | |
| DRCT2026.04 | 46.6 | — | — | — | 50.6 | 53.1 | 55.2 | — | — | — | — | — | — | — | — | — | |
| AIDE2025.12 | — | 59.4 | 66.2 | 64.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| AIDEModel Category=Lightweight Detector, Base Component for Ensemble=Yes2026.03 | — | — | — | — | 67.28 | — | — | — | — | — | — | — | — | — | — | — | |
| AIDETrained on=GenImage SD 1.42026.05 | — | — | — | — | — | — | — | — | — | — | 77 | — | — | — | — | — | |
| AIDETraining Set=GenImage SD 1.42026.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 60.5 | |
| AlignedForensics2025.12 | — | 81 | 75.6 | 73 | — | — | — | — | — | — | — | — | — | — | — | — | |
| AlignGeminiVLM Backbone=Qwen2.5-VL-7B, Expert Branch=DINOv22025.12 | — | 92.9 | 91.9 | 85.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Bagging TreeModel Category=Ensemble Strategy2026.03 | — | — | — | — | 93.21 | — | — | — | — | — | — | — | — | — | — | — | |
| BFree2025.12 | — | 92.7 | 79.1 | 84.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BFreeTrained on=Reconstruction Training Set2026.05 | — | — | — | — | — | — | — | — | — | — | 97.9 | — | — | — | — | — | |
| BFreeTraining Set=Reconstruction Training Set2026.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 93.3 | |
| C2P-CLIP2025.12 | — | 59.6 | 51 | 64.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| CNNSpotTrained on=GenImage SD 1.42026.05 | — | — | — | — | — | — | — | — | — | — | 73 | — | — | — | — | — | |
| CNNSpotTraining Set=GenImage SD 1.42026.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 64 | |
| CO-SPY2025.12 | — | 74.9 | 65.2 | 67.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| D3Model Category=Lightweight Detector2026.03 | — | — | — | — | 63.27 | — | — | — | — | — | — | — | — | — | — | — | |
| DDAModel Category=Lightweight Detector2026.03 | — | — | — | — | 84.74 | — | — | — | — | — | — | — | — | — | — | — | |
| DDATrained on=Reconstruction Training Set2026.05 | — | — | — | — | — | — | — | — | — | — | 94.9 | — | — | — | — | — | |
| DDATraining Set=Reconstruction Training Set2026.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 90.3 | |
| DiffAIGDModel Category=Lightweight Detector2026.03 | — | — | — | — | 75.31 | — | — | — | — | — | — | — | — | — | — | — | |
| DINOv2Trained on=Reconstruction Training Set, Backbone=DINOv22026.05 | — | — | — | — | — | — | — | — | — | — | 97.1 | — | — | — | — | — | |
| DINOv2Training Set=Reconstruction Training Set2026.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 92.9 | |
| DRCT2025.12 | — | 55.1 | 54.8 | 54 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DRCTModel Category=Lightweight Detector, Base Component for Ensemble=Yes2026.03 | — | — | — | — | 53.46 | — | — | — | — | — | — | — | — | — | — | — | |
| DRCTTrained on=GenImage SD 1.42026.05 | — | — | — | — | — | — | — | — | — | — | 86.2 | — | — | — | — | — | |
| DRCTTraining Set=GenImage SD 1.42026.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 74.1 | |
| EffortModel Category=Lightweight Detector2026.03 | — | — | — | — | 67.24 | — | — | — | — | — | — | — | — | — | — | — | |
| EffortTrained on=GenImage SD 1.42026.05 | — | — | — | — | — | — | — | — | — | — | 85.5 | — | — | — | — | — | |
| EffortTraining Set=GenImage SD 1.42026.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 72.1 | |
| FatFormer2025.12 | — | 58.9 | 51.9 | 55.4 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Forensic-ChatBackbone=Qwen2.5-VL2025.12 | — | 81.1 | 74.6 | 89.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| FreqNetModel Category=Lightweight Detector2026.03 | — | — | — | — | 59.09 | — | — | — | — | — | — | — | — | — | — | — | |
| Fuzzy Decision TreeModel Category=Fuzzy Decision Tree2026.03 | — | — | — | — | 93.87 | — | — | — | — | — | — | — | — | — | — | — | |
| LightGBMModel Category=Ensemble Strategy2026.03 | — | — | — | — | 92.01 | — | — | — | — | — | — | — | — | — | — | — | |
| Linear SVMModel Category=Ensemble Strategy2026.03 | — | — | — | — | 92.69 | — | — | — | — | — | — | — | — | — | — | — | |
| Logistic RegressionModel Category=Ensemble Strategy2026.03 | — | — | — | — | 92.89 | — | — | — | — | — | — | — | — | — | — | — | |
| NPR2025.12 | — | 63.5 | 54.2 | 58.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| NPRModel Category=Lightweight Detector, Base Component for Ensemble=Yes2026.03 | — | — | — | — | 67.52 | — | — | — | — | — | — | — | — | — | — | — | |
| NPRTrained on=GenImage SD 1.42026.05 | — | — | — | — | — | — | — | — | — | — | 67.6 | — | — | — | — | — | |
| NPRTraining Set=GenImage SD 1.42026.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 63.8 | |
| PatchCraftModel Category=Lightweight Detector2026.03 | — | — | — | — | 65.16 | — | — | — | — | — | — | — | — | — | — | — | |
| PROBETrained on=GenImage SD 1.4, Backbone=ResNet502026.05 | — | — | — | — | — | — | — | — | — | — | 89.2 | — | — | — | — | — | |
| PROBETrained on=Reconstruction Training Set, Backbone=DINOv22026.05 | — | — | — | — | — | — | — | — | — | — | 99.6 | — | — | — | — | — | |
| PROBEBackbone=ResNet50, Training Set=GenImage SD 1.42026.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 81.3 | |
| PROBEBackbone=DINOv2, Training Set=Reconstruction Training Set2026.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 96.9 | |
| Qwen2-VL-7BModel Category=Multimodal Large Language Model, Protocol=Zero-Shot, Base Component for Ensemble=Yes2026.03 | — | — | — | — | 91.57 | — | — | — | — | — | — | — | — | — | — | — | |
| Qwen2.5-VL-32BModel Category=Multimodal Large Language Model, Protocol=Zero-Shot2026.03 | — | — | — | — | 95.21 | — | — | — | — | — | — | — | — | — | — | — | |
| Qwen2.5-VL-7BModel Category=Multimodal Large Language Model, Protocol=Zero-Shot2026.03 | — | — | — | — | 92.09 | — | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VL-32BModel Category=Multimodal Large Language Model, Protocol=Zero-Shot, Base Component for Ensemble=Yes2026.03 | — | — | — | — | 95.65 | — | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-VL-8BModel Category=Multimodal Large Language Model, Protocol=Zero-Shot, Base Component for Ensemble=Yes2026.03 | — | — | — | — | 95.81 | — | — | — | — | — | — | — | — | — | — | — | |
| Random ForestModel Category=Ensemble Strategy2026.03 | — | — | — | — | 92.77 | — | — | — | — | — | — | — | — | — | — | — | |
| ResNet50Trained on=GenImage SD 1.4, Backbone=ResNet502026.05 | — | — | — | — | — | — | — | — | — | — | 82.2 | — | — | — | — | — | |
| ResNet50Training Set=GenImage SD 1.42026.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 66.8 | |
| SAFE2025.12 | — | 57.2 | 54.5 | 58.4 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SOTATraining Data=ProGAN2026.05 | — | — | — | — | 68.3 | — | — | — | — | — | 79.9 | — | — | — | — | — | |
| SOTATraining Data=WildRF2026.05 | — | — | — | — | 85.7 | — | — | — | — | — | 93.7 | — | — | — | — | — | |
| SPECTRA-NetEvaluation Protocol=zero-shot2026.05 | — | — | — | — | 75.85 | — | — | 94.1 | 52.82 | 97.78 | 94.85 | — | — | — | — | — | |
| UnivFD2025.12 | — | 55.3 | 51.4 | 54.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| UnivFDModel Category=Lightweight Detector2026.03 | — | — | — | — | 57.61 | — | — | — | — | — | — | — | — | — | — | — |