Cross View Image To Image Translation On 4
Métriques
SSIM
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
Nom du modèle | SSIM |
---|---|
cross-view-image-synthesis-using-conditional | 0.4356 |
cross-view-image-synthesis-using-conditional | 0.4231 |
multi-channel-attention-selection-gan-with | 0.5323 |
unified-generative-adversarial-networks-for | 0.5366 |
predicting-ground-level-scene-layout-from | 0.4147 |
local-class-specific-and-global-image-level | 0.5238 |
image-to-image-translation-with-conditional | 0.3923 |