Burst Image Super Resolution On Burstsr
Métriques
LPIPS
PSNR
SSIM
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
Nom du modèle | LPIPS | PSNR | SSIM |
---|---|---|---|
ebsr-feature-enhanced-burst-super-resolution | 0.024 | 48.23 | 0.985 |
simple-base-frame-guided-residual-network-for | 0.022 | 48.87 | 0.987 |
burstm-deep-burst-multi-scale-sr-using | - | 49.12 | 0.987 |
bsrt-improving-burst-super-resolution-with | 0.021 | 48.48 | 0.985 |
kernel-aware-raw-burst-blind-super-resolution | 0.0248 | 48.27 | 0.9856 |
deep-burst-super-resolution | 0.029 | 47.70 | 0.984 |
burst-image-restoration-and-enhancement | - | 48.49 | 0.985 |
deep-reparametrization-of-multi-frame-super | 0.023 | 48.33 | 0.985 |
bsrt-improving-burst-super-resolution-with | 0.021 | 48.57 | 0.986 |