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Kambakhsh-Eskandari / Awesome-Shadow-Removal

Collection of recent shadow removal works, including papers, codes, datasets, and metrics.

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Awesome-Shadow-Removal

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... 👍

Papers and Codes

Supervised-Deep-Learning Algorithm

  • 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]

  • 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]

  • ECCV2022 Style-Guided Shadow Removal [Paper] [Code]

  • Arxiv2022 ShadowDiffusion: Diffusion-based Shadow Removal using Classifier-driven Attention and Structure Preservation [Paper]

  • Arxiv2022 ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal [Paper]

  • AAAI2023 ShadowFormer: Global Context Helps Image Shadow Removal [Code]

Unsupervised-Deep-Learning Algorithm

  • 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]

Portrait Shadow Removal

  • ACM MM2021 Unsupervised Portrait Shadow Removal via Generative Priors [Paper] [Code]

  • BMVC2022 Blind Removal of Facial Foreign Shadows [Paper]

Shadow Generation

  • AAAI2020 Towards Ghost-Free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN [Paper] [Code]

  • TCSVT2020 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]

Application

  • 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]

  • AAAI2023 Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning [Paper]

Datasets

(Detected Masks of the ISTD/ISTD+ dataset [download] from [paper]. )

Metrics

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Collection of recent shadow removal works, including papers, codes, datasets, and metrics.