mlsanityData to 7 Oct 2026

S3R-Net: A Single-Stage Approach to Self-Supervised Shadow Removal

arXiv 2404.12103 ↗First posted 18 Apr 2024cs.CV cs.GRcited by 6

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Abstract (arXiv)

In this paper we present S3R-Net, the Self-Supervised Shadow Removal Network. The two-branch WGAN model achieves self-supervision relying on the unify-and-adaptphenomenon - it unifies the style of the output data and infers its characteristics from a database of unaligned shadow-free reference images. This approach stands in contrast to the large body of supervised frameworks. S3R-Net also differentiates itself from the few existing self-supervised models operating in a cycle-consistent manner, as it is a non-cyclic, unidirectional solution. The proposed framework achieves comparable numerical scores to recent selfsupervised shadow removal models while exhibiting superior qualitative performance and keeping the computational cost low.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 38 of its 64 references that are in the map. First posted on arXiv 18 Apr 2024.

Builds on

38 of 64 references.

References · 38

  1. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  2. 2022Generative Adversarial Networkscited by 5,603
  3. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
  4. 2017Improved Training of Wasserstein GANscited by 2,223
  5. 2014Depth Map Prediction from a Single Image using a Multi-Scale Deep Networkcited by 1,264
  6. 2017High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANscited by 1,176
  7. 2017Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removalcited by 160
  8. 2019Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GANcited by 102
  9. 2022ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removalcited by 102
  10. 2019Shadow Removal via Shadow Image Decompositioncited by 96
  11. 2019Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Datacited by 91
  12. 2021Auto-Exposure Fusion for Single-Image Shadow Removalcited by 78
26 more
  1. 2022DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Networkcited by 68
  2. 2020From Shadow Segmentation to Shadow Removalcited by 59
  3. 2018Direction-aware Spatial Context Features for Shadow Detection and Removalcited by 58
  4. 2021From Shadow Generation to Shadow Removalcited by 54
  5. 2019ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removalcited by 51
  6. 2021Omnimatte: Associating Objects and Their Effects in Videocited by 50
  7. 2021CANet: A Context-Aware Network for Shadow Removalcited by 47
  8. 2020Portrait Shadow Manipulationcited by 42
  9. 2020Shadow Removal by a Lightness-Guided Network with Training on Unpaired Datacited by 38
  10. 2019Instance Shadow Detectioncited by 37
  11. 2019RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removalcited by 35
  12. 2023ShadowFormer: Global Context Helps Image Shadow Removalcited by 35
  13. 2023Latent Feature-Guided Diffusion Models for Shadow Removalcited by 28
  14. 2023Leveraging Inpainting for Single-Image Shadow Removalcited by 24
  15. 2024Recasting Regional Lighting for Shadow Removalcited by 23
  16. 2018Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?cited by 17
  17. 2019Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removalcited by 17
  18. 2021Unsupervised Portrait Shadow Removal via Generative Priorscited by 16
  19. 2016Interactive Removal and Ground Truth for Difficult Shadow Scenescited by 11
  20. 2020No Shadow Left Behind: Removing Objects and their Shadows using Approximate Lighting and Geometrycited by 9
  21. 2022CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removalcited by 5
  22. 2023LP-IOANet: Efficient High Resolution Document Shadow Removalcited by 5
  23. 2021SILT: Self-supervised Lighting Transfer Using Implicit Image Decompositioncited by 4
  24. 2023Progressive Recurrent Network for Shadow Removalcited by 3
  25. 2023Learning Restoration is Not Enough: Transfering Identical Mapping for Single-Image Shadow Removalcited by 2
  26. 2022Shadow Removal by High-Quality Shadow Synthesiscited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 1; 2026: 3.

6 papers.

  1. 2024Semantic-guided Adversarial Diffusion Model for Self-supervised Shadow Removalcited by 3
  2. 2025FASR-Net: Unsupervised Shadow Removal Leveraging Inherent Frequency Priorscited by 1
  3. 2026Beyond Shadows: A Large-Scale Benchmark and Multi-Stage Framework for High-Fidelity Facial Shadow Removalcited by 1
  4. 2024RenDetNet: Weakly-supervised Shadow Detection with Shadow Caster Verificationcited by 0
  5. 2026Consistency as Regularization for Unsupervised Shadow Removalcited by 0
  6. 2026ODDR: One-Step Deshadow Diffusion via Reward Guidancecited by 0