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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Shadow Removal On Istd

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MAE

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이 벤치마크에서 각 모델의 성능 결과

모델 이름
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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