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Shadow Removal On Istd

Metrics

MAE

Results

Performance results of various models on this benchmark

Model Name
MAE
Paper TitleRepository
DSC6.67Direction-aware Spatial Context Features for Shadow Detection and Removal-
ShadowRefiner5.45ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer-
DHAN+DA5.76Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN-
Gong et al.8.53Interactive Shadow Removal and Ground Truth for Difficult Shadow Scenes-
ST-CGAN7.47Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal-
ShadowFormer4.79ShadowFormer: Global Context Helps Image Shadow Removal-
Resfusion4.81Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise-
DHAN6.37Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN-
Zhang et al.6.62SpA-Former: Transformer image shadow detection and removal via spatial attention-
DC-ShadowNet5.88DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network-
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Shadow Removal On Istd | SOTA | HyperAI