3D CT Super-Resolution on MELA
34.17PSNRNAB-GS
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| NAB-GSUpsampling Factor=4×, Training Mode=zero-shot2025.08 | 34.17 | 95.25 | |
| CuNeRFUpsampling Factor=4×, Training Mode=zero-shot2025.08 | 33.76 | 90.96 | |
| TrilinearUpsampling Factor=4×, Training Mode=conventional upsampling2025.08 | 33.64 | 94.72 | |
| CubicUpsampling Factor=4×, Training Mode=conventional upsampling2025.08 | 33.55 | 94.31 | |
| ArSSRUpsampling Factor=4×, Training Mode=supervised2025.08 | 33 | 96.58 | |
| NAB-GSUpsampling Factor=8×, Training Mode=zero-shot2025.08 | 30.81 | 91.15 | |
| ArSSRUpsampling Factor=8×, Training Mode=supervised2025.08 | 30.7 | 93.43 | |
| CubicUpsampling Factor=8×, Training Mode=conventional upsampling2025.08 | 30.49 | 90.05 | |
| TrilinearUpsampling Factor=8×, Training Mode=conventional upsampling2025.08 | 30.27 | 90.63 | |
| CuNeRFUpsampling Factor=8×, Training Mode=zero-shot2025.08 | 30.11 | 85.35 | |
| NeRFUpsampling Factor=4×, Training Mode=zero-shot2025.08 | 29.76 | 80.88 | |
| NeRFUpsampling Factor=8×, Training Mode=zero-shot2025.08 | 28.73 | 78.73 |