Collection of recent shadow removal works. Questions and discussions are most welcome! Upcoming works will be updated on a regular basis, feel free to contact me to add... 👍
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CVPR2017
DeshadowNet: A Multi-Context Embedding Deep Network for Shadow Removal [Paper] [Code] -
CVPR2018
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal [Paper] [Code] -
ICCV2019
Shadow Removal via Shadow Image Decomposition [Paper] [Code] -
TPAMI2019
Direction-Aware Spatial Context Features for Shadow Detection and Removal [Paper] [Code] -
AAAI2020
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal [Paper] [Code] -
AAAI2020
Towards Ghost-Free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN [Paper] [Code] -
SPL2021
Mask-ShadowNet: Towards Shadow Removal via Masked Adaptive Instance Normalization [Paper] [Code] -
CVPR2021
Auto-Exposure Fusion for Single-Image Shadow Removal [Paper] [Code] -
ICCV2021
CANet: A Context-Aware Network for Shadow Removal [Paper] [Code] -
TPAMI21
Physics-based Shadow Image Decomposition for Shadow Removal [Paper] -
AAAI2022
Efficient Model-Driven Network for Shadow Removal [Paper] [Code] -
Arxiv2022
UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal [Paper] -
CVPR2022
Bijective Mapping Network for Shadow Removal [Paper] [Code] -
Arxiv2022
CRFormer: A Cross-Region Transformer for Shadow Removal [Paper] -
Arxiv2022
Shadow-Aware Dynamic Convolution for Shadow Removal [Paper] [Code] -
ECCVW2022
CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal [Paper] -
CVPR2023
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal [Paper] -
AAAI2023
ShadowFormer: Global Context Helps Image Shadow Removal [Paper] [Code] -
WACV2023
SHARDS: Efficient SHAdow Removal using Dual Stage Network for High-Resolution Images [Paper] -
WACV2023
LRA&LDRA: Rethinking Residual Predictions for Efficient Shadow Detection and Removal [Paper] -
ACMMM2023
FSR-Net: Deep Fourier Network for Shadow Removal [Paper] -
TMM2023
A Boundary-Aware Network for Shadow Removal [Paper] -
TMM2023
A Decoupled Multi-Task Network for Shadow Removal [Paper] [Code] -
TNNLS2023
A Shadow Imaging Bilinear Model and Three-branch Residual Network for Shadow Removal [Code] -
ICCV2023
Leveraging Inpainting for Single-Image Shadow Removal [Paper] [Code] -
AAAI2024
Recasting Regional Lighting for Shadow Removal [Paper] -
AAAI2024
DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT Similarity [Paper] [Code] -
WACV2024
Latent Feature-Guided Diffusion Models for Shadow Removal [Paper] [Code] -
CVPR2024
HomoFormer: Homogenized Transformer for Image Shadow Removal [Paper][Code] -
Arxiv2024
Diff-Shadow: Global-guided Diffusion Model for Shadow Removal [Paper] -
Arxiv2024
SoftShadow: Leveraging Penumbra-Aware Soft Masks for Shadow Removal [Paper]
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ICCV2019
Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data [Paper] [Code] -
ECCV2020
From Shadow Segmentation to Shadow Removal [Paper] [Code] -
CVPR2021
From Shadow Generation to Shadow Removal [Paper] [Code] -
TIP2021
Shadow Removal by a Lightness-Guided Network With Training on Unpaired Data [Paper] [Code] -
Arxiv2021
Self-Supervised Shadow Removal [Paper] -
Arxiv2021
Unsupervised Shadow Removal Using Target Consistency Generative Adversarial Network [Paper] -
ICCV2021
DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network [Paper] [Code] -
ICCV2023
Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal [Paper]
ICCV2019
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal [Paper]
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ACM MM2021
Unsupervised Portrait Shadow Removal via Generative Priors [Paper] [Code] -
BMVC2022
Blind Removal of Facial Foreign Shadows [Paper]
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AAAI2020
Towards Ghost-Free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN [Paper] [Code] -
TCSVT2021
Learning from Synthetic Shadows for Shadow Detection and Removal [Paper] [Code] -
CVPR2021
From Shadow Generation to Shadow Removal [Paper] [Code] -
CVPR2020
Learning to Shadow Hand-Drawn Sketches [Paper] [Code] -
ICCV2021
SmartShadow: Artistic Shadow Drawing Tool for Line Drawings [Paper] -
CVPR2024
Shadow Generation for Composite Image Using Diffusion Model [Paper] [Code]
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ICASSP2020
Shadow removal of text document images by estimating local and global background colors [Paper] -
CVPR2020
BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image [Paper] -
CVPR2022
Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon [Paper] [Code] -
TGRS2022
Shadow Removal of Hyperspectral Remote Sensing Images With Multiexposure Fusion [Paper] -
AAAI2023
Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning [Paper]
- ISTD [link]
- ISTD+ [link]
- SRD [Training][Testing]
- USR: Unpaired Shadow Removal Dataset [link]
CVPR2018
Direction-Aware Spatial Context Features for Shadow Detection [Paper] [Code]ECCV2018
Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection [Paper] [Code]AAAI2020
Towards Ghost-Free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN [Paper] [Code]ACM MM2022
Single Image Shadow Detection via Complementary Mechanism [Paper] [Code]Arxiv2023
SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More [Paper] [Code]
CVPR2020
Instance Shadow Detection [Paper] [Code]CVPR2021
Single-Stage Instance Shadow Detection with Bidirectional Relation Learning [Paper] [Code]TPAMI2023
Instance Shadow Detection with A Single-Stage Detector [Paper] [Code]Arxiv2023
Video Instance Shadow Detection [Paper]
- RMSE (Root-Mean-Square Error) [Wiki] [Matlab Code]
- PSNR (Peak Signal-to-Noise Ratio) [Wiki] [Matlab Code] [Python Code]
- SSIM (Structural similarity) [Wiki] [Matlab Code] [Python Code]
- NIQE (Naturalness Image Quality Evaluator) [Web] [Matlab Code] [Python Code]
If you find this work useful in your research, Please cite the paper as below:
@article{guo2024single,
title={Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey},
author={Guo, Laniqng and Wang, Chong and Wang, Yufei and Huang, Siyu and Yang, Wenhan and Kot, Alex C and Wen, Bihan},
journal={arXiv preprint arXiv:2407.08865},
year={2024}
}