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Shadow Removal

Image Shadow Removal

Papers

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Showing 1–50 of 127 papers

TitleStatusHype
Single-Image Shadow Removal Using Deep Learning: A Comprehensive SurveyCode3
DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided NetworkCode2
High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing NetCode2
ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier TransformerCode2
SpA-Former: Transformer image shadow detection and removal via spatial attentionCode2
Controlling Vision-Language Models for Multi-Task Image RestorationCode2
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion ModelsCode2
DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT SimilarityCode1
A Decoupled Multi-Task Network for Shadow RemovalCode1
ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow RemovalCode1
Towards Image Ambient Lighting NormalizationCode1
Unsupervised Portrait Shadow Removal via Generative PriorsCode1
Shadow Removal by a Lightness-Guided Network with Training on Unpaired DataCode1
ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow RemovalCode1
S3R-Net: A Single-Stage Approach to Self-Supervised Shadow RemovalCode1
ShadowFormer: Global Context Helps Image Shadow RemovalCode1
Physics-based Shadow Image Decomposition for Shadow RemovalCode1
Intrinsic Decomposition of Document Images In-the-WildCode1
A Shadow Imaging Bilinear Model and Three-branch Residual Network for Shadow RemovalCode1
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow RemovalCode1
From Shadow Generation to Shadow RemovalCode1
Shadow Removal via Shadow Image DecompositionCode1
Auto-Exposure Fusion for Single-Image Shadow RemovalCode1
Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GANCode1
Regional Attention for Shadow RemovalCode1
BEDSR-Net: A Deep Shadow Removal Network From a Single Document ImageCode1
HomoFormer: Homogenized Transformer for Image Shadow RemovalCode1
Mask-ShadowGAN: Learning to Remove Shadows from Unpaired DataCode1
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow RemovalCode1
Bijective Mapping Network for Shadow RemovalCode1
Learning from Synthetic Shadows for Shadow Detection and RemovalCode1
OmniSR: Shadow Removal under Direct and Indirect LightingCode1
Image Restoration via Multi-domain LearningCode1
Leveraging Inpainting for Single-Image Shadow RemovalCode1
Document Image Shadow Removal Guided by Color-Aware BackgroundCode1
CANet: A Context-Aware Network for Shadow RemovalCode1
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual NoiseCode1
Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic DataCode1
Style-Guided Shadow RemovalCode1
Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware LearningCode1
Benchmarking Shadow Removal for Facial Landmark Detection and Beyond—0
DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images—0
A Nonconvex Projection Method for Robust PCA—0
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal—0
Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images—0
Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks—0
Learning Restoration is Not Enough: Transfering Identical Mapping for Single-Image Shadow Removal—0
DECDM: Document Enhancement using Cycle-Consistent Diffusion Models—0
Illumination-Invariant Image from 4-Channel Images: The Effect of Near-Infrared Data in Shadow Removal—0
D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video—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