Shadow Removal On Srd
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 | 0.412 | 25.46 | 3.97 | 0.678 |
| shadowdiffusion-when-degradation-prior-meets | 0.24 | 23.09 | 5.11 | 0.804 |
| from-shadow-generation-to-shadow-removal | 0.302 | 22.44 | 5.72 | 0.765 |
| dc-shadownet-single-image-hard-and-soft-1 | 0.383 | 24.72 | 4.27 | 0.67 |
| stacked-conditional-generative-adversarial | 0.443 | 25.08 | 4.15 | 0.637 |
| regional-attention-for-shadow-removal | - | - | 3.37 | - |
| shadowformer-global-context-helps-image | 0.228 | 25.6 | 3.9 | 0.819 |
| from-shadow-generation-to-shadow-removal | 0.46 | 21.72 | 6.08 | 0.619 |
| homoformer-homogenized-transformer-for-image | 0.325 | 24.64 | 4.17 | 0.723 |
| bijective-mapping-network-for-shadow-removal | 0.327 | 24.24 | 4.39 | 0.721 |
| shadowmaskformer-mask-augmented-patch | 0.386 | 23.85 | 4.69 | 0.671 |
| shadowdiffusion-when-degradation-prior-meets | 0.363 | 23.26 | 4.84 | 0.684 |
| shadow-removal-via-shadow-image-decomposition | 0.269 | 24.89 | 4.35 | 0.792 |
| bijective-mapping-network-for-shadow-removal | 0.225 | 25.39 | 4 | 0.82 |
| mask-shadowgan-learning-to-remove-shadows | 0.27 | 25.98 | 3.83 | 0.803 |
| style-guided-shadow-removal | 0.443 | 24.1 | 4.6 | 0.636 |
| shadowmaskformer-mask-augmented-patch | 0.249 | 25.13 | 4.15 | 0.798 |
| shadowformer-global-context-helps-image | 0.348 | 24.28 | 4.44 | 0.715 |
| dc-shadownet-single-image-hard-and-soft-1 | 0.255 | 26.47 | 3.68 | 0.808 |
| homoformer-homogenized-transformer-for-image | 0.219 | 26.21 | 3.62 | 0.827 |
| shadow-removal-via-shadow-image-decomposition | 0.444 | 22.25 | 5.68 | 0.636 |
| auto-exposure-fusion-for-single-image-shadow | 0.37 | 23.2 | 5.37 | 0.694 |
| style-guided-shadow-removal | 0.279 | 25.56 | 4.01 | 0.786 |
| auto-exposure-fusion-for-single-image-shadow | 0.247 | 24.32 | 4.71 | 0.8 |
| mask-shadowgan-learning-to-remove-shadows | 0.427 | 24.67 | 4.32 | 0.662 |