AI-generated image detection on SDXL generator v1.0 (test)
66.79AccuracyOurs (ViT-L/14)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Ours (ViT-L/14)Training Dataset=ProGAN, Backbone=ViT-L/142026.01 | 66.79 | 84.97 | |
| UnivFDTraining Dataset=ProGAN2026.01 | 65.07 | 90.8 | |
| FreDectTraining Dataset=ProGAN2026.01 | 59.05 | 59.02 | |
| FatFormerTraining Dataset=ProGAN2026.01 | 56.65 | 58.42 | |
| Ours (ViT-B/32)Training Dataset=ProGAN, Backbone=ViT-B/322026.01 | 53.04 | 83.13 | |
| SAFETraining Dataset=ProGAN2026.01 | 49.96 | 54.94 | |
| CNNSpotTraining Dataset=ProGAN2026.01 | 49.55 | 64.64 | |
| NPRTraining Dataset=ProGAN2026.01 | 49.44 | 36.77 | |
| LNPTraining Dataset=ProGAN2026.01 | 40.3 | 34.76 | |
| GramNetTraining Dataset=ProGAN2026.01 | 32.72 | 33.14 | |
| LGradTraining Dataset=ProGAN2026.01 | 31.52 | 32.23 |