Spectral Reconstruction On Cave
Métriques
PSNR
SSIM
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | PSNR | SSIM |
|---|---|---|
| hdnet-high-resolution-dual-domain-learning | 34.97 | 0.943 |
| Modèle 2 | 29.76 | 0.837 |
| improving-spectral-snapshot-reconstruction | 40.69 | 0.978 |
| mst-multi-stage-spectral-wise-transformer-for | 35.99 | 0.951 |
| mask-guided-spectral-wise-transformer-for | 35.18 | 0.948 |
| degradation-aware-unfolding-half-shuffle | 38.36 | 0.967 |
| residual-degradation-learning-unfolding | 39.57 | 0.974 |
| dual-prior-unfolding-for-snapshot-compressive | 40.52 | 0.977 |
| coarse-to-fine-sparse-transformer-for | 36.12 | 0.957 |
| Modèle 10 | 38.96 | 0.969 |