Image-level Anomaly Detection on MVTec AD bottle
100AUROCAnoDiff*
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| AnoDiff*Evaluator=UNet, Training Data=Generated defect images2025.03 | 100 | 100 | 99 | |
| AnoDiff‡Evaluator=UNet, Training Data=Generated defect images2025.03 | 100 | 100 | 100 | |
| DefectFillEvaluator=UNet, Training Data=Generated defect images2025.03 | 100 | 100 | 100 | |
| DFMGAN+Evaluator=UNet, Training Data=Generated defect images2025.03 | 97 | 100 | 98 |