Shadow Removal On Istd 1
評価指標
LPIPS
PSNR
RMSE
SSIM
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
モデル名 | LPIPS | PSNR | RMSE | SSIM |
---|---|---|---|---|
direction-aware-spatial-context-features-for-1 | 0.347 | 26.53 | 3.44 | 0.738 |
dc-shadownet-single-image-hard-and-soft-1 | 0.406 | 25.18 | 3.89 | 0.693 |
regional-attention-for-shadow-removal | - | - | 2.53 | - |
from-shadow-generation-to-shadow-removal | 0.221 | 27.13 | 3.31 | 0.841 |
bijective-mapping-network-for-shadow-removal | 0.212 | 27.74 | 3.06 | 0.848 |
shadow-removal-via-shadow-image-decomposition | 0.373 | 26.58 | 3.37 | 0.717 |
shadowdiffusion-when-degradation-prior-meets | 0.222 | 27.87 | 3.1 | 0.839 |
auto-exposure-fusion-for-single-image-shadow | 0.365 | 26.1 | 3.53 | 0.718 |
shadowformer-global-context-helps-image | 0.204 | 28.07 | 3.06 | 0.847 |
homoformer-homogenized-transformer-for-image | 0.196 | 28.53 | 2.88 | 0.857 |
style-guided-shadow-removal | 0.369 | 26.8 | 3.32 | 0.717 |
stacked-conditional-generative-adversarial | 0.252 | 27.32 | 3.36 | 0.829 |
mask-shadowgan-learning-to-remove-shadows | 0.196 | 26.51 | 3.42 | 0.865 |
homoformer-homogenized-transformer-for-image | 0.348 | 26.72 | 3.37 | 0.732 |
dc-shadownet-single-image-hard-and-soft-1 | 0.234 | 26.06 | 3.64 | 0.835 |
bijective-mapping-network-for-shadow-removal | 0.354 | 26.62 | 3.34 | 0.731 |
auto-exposure-fusion-for-single-image-shadow | 0.189 | 28.07 | 2.99 | 0.853 |
shadowmaskformer-mask-augmented-patch | 0.395 | 26.57 | 3.39 | 0.698 |
shadowmaskformer-mask-augmented-patch | 0.211 | 28.34 | 2.95 | 0.849 |
from-shadow-generation-to-shadow-removal | 0.396 | 24.23 | 4.37 | 0.696 |
shadowformer-global-context-helps-image | 0.35 | 26.55 | 3.45 | 0.728 |
style-guided-shadow-removal | 0.205 | 28.25 | 2.98 | 0.849 |
stacked-conditional-generative-adversarial | 0.408 | 25.74 | 3.77 | 0.691 |
shadow-removal-via-shadow-image-decomposition | 0.183 | 28.31 | 2.96 | 0.866 |
shadowdiffusion-when-degradation-prior-meets | 0.404 | 26.51 | 3.44 | 0.688 |
mask-shadowgan-learning-to-remove-shadows | 0.377 | 25.5 | 3.7 | 0.72 |