Shadow Removal

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task (1 more in the archive withheld as spam; see /not-shown), 5 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

9 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 71 papers with code (127 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
  20 Nov 2019 5 repositories listed
  With the help of novel masks or scenes, we enhance the current datasets using synthesized shadow images.
• Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data
  26 Mar 2019 5 repositories listed
  This paper presents a new method for shadow removal using unpaired data, enabling us to avoid tedious annotations and obtain more diverse training samples.
• Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
  7 Dec 2017 5 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Specifically, a shadow image is fed into the first generator which produces a shadow detection mask.
• RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
  20 Nov 2019 3 repositories listed
  To our best knowledge, we are the first one to explore residual and illumination for shadow removal.
• Shadow Removal via Shadow Image Decomposition
  23 Aug 2019 3 repositories listed Syntology ran 0 of 11 samples · 11 unverified
  Training our model on this new augmented ISTD dataset further lowers the RMSE on the shadow area to 7.
• DeshadowNet: A Multi-Context Embedding Deep Network for Shadow Removal
  1 Jul 2017 3 repositories listed
  Two levels of features are derived from the global network and transferred to two parallel networks.
• High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net
  27 Aug 2023 2 repositories listed
  We handle high-resolution document shadow removal directly via a larger-scale real-world dataset and a carefully designed frequency-aware network.
• ShadowFormer: Global Context Helps Image Shadow Removal
  3 Feb 2023 2 repositories listed
  It is still challenging for the deep shadow removal model to exploit the global contextual correlation between shadow and non-shadow regions.
• SpA-Former: Transformer image shadow detection and removal via spatial attention
  22 Jun 2022 2 repositories listed
  In this paper, we propose an end-to-end SpA-Former to recover a shadow-free image from a single shaded image.
• Shadow-Aware Dynamic Convolution for Shadow Removal
  10 May 2022 2 repositories listed
  Inspired by the fact that the color mapping of the non-shadow region is easier to learn, our SADC processes the non-shadow region with a lightweight convolution module in a computationally cheap manner and recovers the…
• Efficient Model-Driven Network for Shadow Removal
  1 Feb 2022 2 repositories listed
  To address these issues, we first propose a new shadow illumination model for the shadow removal task.
• Bijective Mapping Network for Shadow Removal
  1 Jan 2022 2 repositories listed
  Shadow removal, which aims to restore the background in the shadow regions, is challenging due to the highly ill-posed nature.
• Auto-Exposure Fusion for Single-Image Shadow Removal
  1 Mar 2021 2 repositories listed Syntology ran 3 of 7 samples · 4 unverified · 7 pointer-only (licence)
  We conduct extensive experiments on the ISTD, ISTD+, and SRD datasets to validate our method's effectiveness and show better performance in shadow regions and comparable performance in non-shadow regions over the…
• Physics-based Shadow Image Decomposition for Shadow Removal
  23 Dec 2020 2 repositories listed
  Inspired by physical models of shadow formation, we use a linear illumination transformation to model the shadow effects in the image that allows the shadow image to be expressed as a combination of the shadow-free…
• BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image
  1 Jun 2020 2 repositories listed
  For taking advantage of specific properties of document images, a background estimation module is designed for extracting the global background color of the document.
• Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal
  22 Apr 2019 2 repositories listed
  In this paper, we propose a novel algorithm to rectify illumination of the digitized documents by eliminating shading artifacts.
• Robust Graph Learning from Noisy Data
  17 Dec 2018 2 repositories listed
  The proposed model is able to boost the performance of data clustering, semisupervised classification, and data recovery significantly, primarily due to two key factors: 1) enhanced low-rank recovery by exploiting the…
• Direction-aware Spatial Context Features for Shadow Detection and Removal
  12 May 2018 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  This paper presents a novel deep neural network design for shadow detection and removal by analyzing the spatial image context in a direction-aware manner.
• Image Restoration via Multi-domain Learning
  7 May 2025 1 repository listed
  Due to adverse atmospheric and imaging conditions, natural images suffer from various degradation phenomena.
• Retinex-guided Histogram Transformer for Mask-free Shadow Removal
  18 Apr 2025 1 repository listed
  While deep learning methods have achieved notable progress in shadow removal, many existing approaches rely on shadow masks that are difficult to obtain, limiting their generalization to real-world scenes.
• Regional Attention for Shadow Removal
  21 Nov 2024 1 repository listed
  Shadow, as a natural consequence of light interacting with objects, plays a crucial role in shaping the aesthetics of an image, which however also impairs the content visibility and overall visual quality.
• OmniSR: Shadow Removal under Direct and Indirect Lighting
  2 Oct 2024 1 repository listed
  Shadows can originate from occlusions in both direct and indirect illumination.
• SoftShadow: Leveraging Penumbra-Aware Soft Masks for Shadow Removal
  11 Sep 2024 1 repository listed
  In view of this, inspired by the physical model of shadow formation, we introduce novel soft shadow masks specifically designed for shadow removal.
• Diff-Shadow: Global-guided Diffusion Model for Shadow Removal
  23 Jul 2024 1 repository listed
  Specifically, we propose a parallel UNets architecture: 1) the local branch performs the patch-based noise estimation in the diffusion process, and 2) the global branch recovers the low-resolution shadow-free images.
• Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey
  11 Jul 2024 1 repository listed
  In this paper, we are the first to provide a comprehensive survey to cover various aspects ranging from technical details to applications.
• Cross-Modal Spherical Aggregation for Weakly Supervised Remote Sensing Shadow Removal
  25 Jun 2024 1 repository listed
  To fill this gap, we propose a weakly supervised shadow removal network with a spherical feature space, dubbed S2-ShadowNet, to explore the best of both worlds for visible and infrared modalities.
• ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow Removal
  29 Apr 2024 1 repository listed
  Transformer recently emerged as the de facto model for computer vision tasks and has also been successfully applied to shadow removal.
• S3R-Net: A Single-Stage Approach to Self-Supervised Shadow Removal
  18 Apr 2024 1 repository listed
  In this paper we present S3R-Net, the Self-Supervised Shadow Removal Network.
• ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer
  18 Apr 2024 1 repository listed
  Shadow-affected images often exhibit pronounced spatial discrepancies in color and illumination, consequently degrading various vision applications including object detection and segmentation systems.
• Towards Image Ambient Lighting Normalization
  27 Mar 2024 1 repository listed
  However, existing works often simplify this task within the context of shadow removal, limiting the light sources to one and oversimplifying the scene, thus excluding complex self-shadows and restricting surface classes…

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.