HRTEM Denoising on TEMImageNet synthetic (test)
32.55PSNRSCGN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SCGNModel type=Supervised deep learning, Note=Training datasets correspond to the testing datasets2026.03 | 32.55 | 96.38 | |
| SFINModel type=Supervised deep learning, Note=Training datasets correspond to the testing datasets2026.03 | 31.76 | 95.43 | |
| HINTModel type=Supervised deep learning, Note=Training datasets correspond to the testing datasets2026.03 | 27.51 | 90.31 | |
| AtomSegNetModel type=Supervised deep learning, Note=Training datasets correspond to the testing datasets2026.03 | 22.34 | 80.08 | |
| GaussianTraining strategy=Traditional filter, Note=Training datasets correspond to the testing datasets2026.03 | 16.08 | 49.91 |