SOTAVerified

Shadow Removal

Image Shadow Removal

Papers

Showing 2650 of 127 papers

TitleStatusHype
Towards Image Ambient Lighting NormalizationCode1
Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks0
NTIRE 2023 Image Shadow Removal Challenge Technical Report: Team IIM_TTICode0
FieldNet: Efficient Real-Time Shadow Removal for Enhanced Vision in Field Robotics0
0-1 laws for pattern occurrences in phylogenetic trees and networks0
Recasting Regional Lighting for Shadow Removal0
HomoFormer: Homogenized Transformer for Image Shadow RemovalCode1
Neural Spline Fields for Burst Image Fusion and Layer Separation0
Latent Feature-Guided Diffusion Models for Shadow Removal0
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual NoiseCode1
DECDM: Document Enhancement using Cycle-Consistent Diffusion Models0
Progressive Recurrent Network for Shadow Removal0
Controlling Vision-Language Models for Multi-Task Image RestorationCode2
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal0
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 Removal0
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 Removal0
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Benchmark Results

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