Spectral Reconstruction On Arad 1K
평가 지표
MRAE
PSNR
RMSE
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | MRAE | PSNR | RMSE |
|---|---|---|---|
| hdnet-high-resolution-dual-domain-learning | 0.2048 | 32.13 | 0.0317 |
| mst-multi-stage-spectral-wise-transformer-for | 0.1645 | 34.32 | 0.0248 |
| hierarchical-regression-network-for-spectral | 0.3476 | 26.89 | 0.0550 |
| mask-guided-spectral-wise-transformer-for | 0.1772 | 33.90 | 0.0256 |
| enhanced-deep-residual-networks-for-single | 0.3277 | 28.29 | 0.0437 |
| restormer-efficient-transformer-for-high | 0.1833 | 33.40 | 0.0274 |
| adaptive-weighted-guided-image-filtering-for | 0.2500 | 31.22 | 0.0367 |
| learning-enriched-features-for-real-image | 0.1890 | 33.29 | 0.0274 |
| hscnn-a-hybrid-siamese-convolutional-neural | 0.3814 | 26.36 | 0.0588 |
| multi-stage-progressive-image-restoration | 0.1817 | 33.50 | 0.0270 |
| hinet-half-instance-normalization-network-for | 0.2032 | 32.51 | 0.0303 |