AI-generated image detection on FLUX.1 generator (test)
83.57AccuracySAFE
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SAFETraining Dataset=ProGAN2026.01 | 83.57 | 94.95 | |
| NPRTraining Dataset=ProGAN2026.01 | 82.92 | 94.35 | |
| FatFormerTraining Dataset=ProGAN2026.01 | 75.64 | 89.58 | |
| Ours (ViT-B/32)Training Dataset=ProGAN, Backbone=ViT-B/322026.01 | 74.16 | 79.79 | |
| Ours (ViT-L/14)Training Dataset=ProGAN, Backbone=ViT-L/142026.01 | 73.02 | 84.38 | |
| LGradTraining Dataset=ProGAN2026.01 | 71.69 | 81.11 | |
| GramNetTraining Dataset=ProGAN2026.01 | 58.29 | 57.42 | |
| LNPTraining Dataset=ProGAN2026.01 | 56.53 | 60.49 | |
| UnivFDTraining Dataset=ProGAN2026.01 | 50.04 | 55.09 | |
| CNNSpotTraining Dataset=ProGAN2026.01 | 49.06 | 47.32 | |
| FreDectTraining Dataset=ProGAN2026.01 | 40.81 | 41.7 |