HyperAI

Shadow Removal On Istd 1

Métriques

LPIPS
PSNR
RMSE
SSIM

Résultats

Résultats de performance de divers modèles sur ce benchmark

Tableau comparatif
Nom du modèleLPIPSPSNRRMSESSIM
direction-aware-spatial-context-features-for-10.34726.533.440.738
dc-shadownet-single-image-hard-and-soft-10.40625.183.890.693
regional-attention-for-shadow-removal--2.53-
from-shadow-generation-to-shadow-removal0.22127.133.310.841
bijective-mapping-network-for-shadow-removal0.21227.743.060.848
shadow-removal-via-shadow-image-decomposition0.37326.583.370.717
shadowdiffusion-when-degradation-prior-meets0.22227.873.10.839
auto-exposure-fusion-for-single-image-shadow0.36526.13.530.718
shadowformer-global-context-helps-image0.20428.073.060.847
homoformer-homogenized-transformer-for-image0.19628.53 2.88 0.857
style-guided-shadow-removal0.36926.83.320.717
stacked-conditional-generative-adversarial0.25227.323.360.829
mask-shadowgan-learning-to-remove-shadows0.19626.513.420.865
homoformer-homogenized-transformer-for-image0.34826.72 3.37 0.732
dc-shadownet-single-image-hard-and-soft-10.23426.063.640.835
bijective-mapping-network-for-shadow-removal0.35426.623.340.731
auto-exposure-fusion-for-single-image-shadow0.18928.072.990.853
shadowmaskformer-mask-augmented-patch0.39526.573.390.698
shadowmaskformer-mask-augmented-patch0.21128.342.950.849
from-shadow-generation-to-shadow-removal0.39624.234.370.696
shadowformer-global-context-helps-image0.3526.553.450.728
style-guided-shadow-removal0.20528.252.980.849
stacked-conditional-generative-adversarial0.40825.743.770.691
shadow-removal-via-shadow-image-decomposition0.18328.312.960.866
shadowdiffusion-when-degradation-prior-meets0.40426.513.440.688
mask-shadowgan-learning-to-remove-shadows0.37725.53.70.72