SOTAVerified

Shadow Removal

Image Shadow Removal

Papers

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Showing 1–50 of 127 papers

TitleStatusHype
Image Restoration via Multi-domain LearningCode1
Retinex-guided Histogram Transformer for Mask-free Shadow RemovalCode0
FASR-Net: Unsupervised Shadow Removal Leveraging Inherent Frequency Priors—0
Leveraging Contrast Information for Efficient Document Shadow Removal—0
Prompt-Aware Controllable Shadow Removal—0
Towards Hard and Soft Shadow Removal via Dual-Branch Separation Network and Vision Transformer—0
SoftShadow: Leveraging Soft Masks for Penumbra-Aware Shadow Removal—0
Detail-Preserving Latent Diffusion for Stable Shadow Removal—0
Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation—0
Regional Attention for Shadow RemovalCode1
WavShadow: Wavelet Based Shadow Segmentation and Removal—0
ShadowMamba: State-Space Model with Boundary-Region Selective Scan for Shadow Removal—0
Generative Portrait Shadow Removal—0
OmniSR: Shadow Removal under Direct and Indirect LightingCode1
SoftShadow: Leveraging Penumbra-Aware Soft Masks for Shadow RemovalCode0
Shadow Removal Refinement via Material-Consistent Shadow Edges—0
Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal—0
Diff-Shadow: Global-guided Diffusion Model for Shadow RemovalCode0
Single-Image Shadow Removal Using Deep Learning: A Comprehensive SurveyCode3
Semantic-guided Adversarial Diffusion Model for Self-supervised Shadow Removal—0
Cross-Modal Spherical Aggregation for Weakly Supervised Remote Sensing Shadow RemovalCode0
ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow RemovalCode1
ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier TransformerCode2
S3R-Net: A Single-Stage Approach to Self-Supervised Shadow RemovalCode1
Accurate Tennis Court Line Detection on Amateur Recorded Matches—0
Towards Image Ambient Lighting NormalizationCode1
Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks—0
NTIRE 2023 Image Shadow Removal Challenge Technical Report: Team IIM_TTICode0
FieldNet: Efficient Real-Time Shadow Removal for Enhanced Vision in Field Robotics—0
0-1 laws for pattern occurrences in phylogenetic trees and networks—0
Recasting Regional Lighting for Shadow Removal—0
HomoFormer: Homogenized Transformer for Image Shadow RemovalCode1
Neural Spline Fields for Burst Image Fusion and Layer Separation—0
Latent Feature-Guided Diffusion Models for Shadow Removal—0
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual NoiseCode1
DECDM: Document Enhancement using Cycle-Consistent Diffusion Models—0
Progressive Recurrent Network for Shadow Removal—0
Controlling Vision-Language Models for Multi-Task Image RestorationCode2
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal—0
ShaDocFormer: A Shadow-Attentive Threshold Detector With Cascaded Fusion Refiner for Document Shadow RemovalCode0
High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing NetCode2
A Shadow Imaging Bilinear Model and Three-branch Residual Network for Shadow RemovalCode1
DocDeshadower: Frequency-Aware Transformer for Document Shadow RemovalCode0
SAM-helps-Shadow:When Segment Anything Model meet shadow removalCode0
SIDAR: Synthetic Image Dataset for Alignment & RestorationCode0
Learning Restoration is Not Enough: Transfering Identical Mapping for Single-Image Shadow Removal—0
Shadow Removal of Text Document Images Using Background Estimation and Adaptive Text EnhancementCode0
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion ModelsCode2
LP-IOANet: Efficient High Resolution Document Shadow RemovalCode0
Learning Physical-Spatio-Temporal Features for Video Shadow Removal—0
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All datasetsISTDSRDWSRD+

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Gong et al.MAE8.53—Unverified
2ST-CGANMAE7.47—Unverified
3DSCMAE6.67—Unverified
4Zhang et al.MAE6.62—Unverified
5DHANMAE6.37—Unverified
6DC-ShadowNetMAE5.88—Unverified
7DHAN+DAMAE5.76—Unverified
8ShadowRefinerMAE5.45—Unverified
9ResfusionMAE4.81—Unverified
10ShadowFormerMAE4.79—Unverified
#ModelMetricClaimedVerifiedStatus
1G2R-ShadowNet (CVPR 2021) (256x256)RMSE6.08—Unverified
2G2R-ShadowNet (CVPR 2021) (512x512)RMSE5.72—Unverified
3SP+M-Net (ICCV 2019) (256x256)RMSE5.68—Unverified
4Auto (CVPR 2021) (256x256)RMSE5.37—Unverified
5ShadowDiffusion (CVPR 2023) (512x512)RMSE5.11—Unverified
6ShadowDiffusion (CVPR 2023) (256x256)RMSE4.84—Unverified
7Auto (CVPR 2021) (512x512)RMSE4.71—Unverified
8ShadowMaskFormer (arXiv 2024) (256x256)RMSE4.69—Unverified
9SG-ShadowNet (ECCV 2022) (256x256)RMSE4.6—Unverified
10ShadowFormer (AAAI 2023) (256x256)RMSE4.44—Unverified
#ModelMetricClaimedVerifiedStatus
1ShadowRefinerLPIPS0.09—Unverified