Image Shadow Removal

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

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

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

24 shown of 24 papers with code (38 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.

• 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.
• 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.
• 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…
• 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.
• 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…
• 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.
• 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.
• 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.
• NTIRE 2023 Image Shadow Removal Challenge Technical Report: Team IIM_TTI
  13 Mar 2024 1 repository listed
  In this paper, we analyze and discuss ShadowFormer in preparation for the NTIRE2023 Shadow Removal Challenge [1], implementing five key improvements: image alignment, the introduction of a perceptual quality loss…
• HomoFormer: Homogenized Transformer for Image Shadow Removal
  1 Jan 2024 1 repository listed
  The spatial non-uniformity and diverse patterns of shadow degradation conflict with the weight sharing manner of dominant models which may lead to an unsatisfactory compromise.
• A Shadow Imaging Bilinear Model and Three-branch Residual Network for Shadow Removal
  2 Aug 2023 1 repository listed
  Thus, our network ensures the fidelity of nonshadow areas and restores the light intensity of shadow areas through three-branch collaboration.
• SAM-helps-Shadow:When Segment Anything Model meet shadow removal
  1 Jun 2023 1 repository listed
  The challenges surrounding the application of image shadow removal to real-world images and not just constrained datasets like ISTD/SRD have highlighted an urgent need for zero-shot learning in this field.
• Shadow Removal of Text Document Images Using Background Estimation and Adaptive Text Enhancement
  5 May 2023 1 repository listed
  Thirdly, we propose an adaptive text contrast enhancement strategy to generate shadow-free results with comfortable visual perception across shadow and non-shadow regions.
• Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
  17 Apr 2023 1 repository listed
  This work aims to improve the applicability of diffusion models in realistic image restoration.
• A Decoupled Multi-Task Network for Shadow Removal
  3 Mar 2023 1 repository listed
  Last, these features are converted to a target shadow-free image, affiliated shadow matte, and shadow image, supervised by multi-task joint loss functions.
• Leveraging Inpainting for Single-Image Shadow Removal
  10 Feb 2023 1 repository listed
  In this work, we find that pretraining shadow removal networks on the image inpainting dataset can reduce the shadow remnants significantly: a naive encoder-decoder network gets competitive restoration quality w.
• Document Image Shadow Removal Guided by Color-Aware Background
  1 Jan 2023 1 repository listed
  In this paper, we present a color-aware background extraction network (CBENet) for extracting a spatially varying background image that accurately depicts the background colors of the document.
• ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
  9 Dec 2022 1 repository listed
  Recent deep learning methods have achieved promising results in image shadow removal.
• ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal
  30 Nov 2022 1 repository listed
  Shadow removal improves the visual quality and legibility of digital copies of documents.
• DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT Similarity
  15 Nov 2022 1 repository listed
  Most existing methods rely on binary shadow masks, without considering the ambiguous boundaries of soft and self shadows.
• DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network
  21 Jul 2022 1 repository listed
  To address the problem, in this paper, we propose an unsupervised domain-classifier guided shadow removal network, DC-ShadowNet.
• Mask-ShadowNet: Towards Shadow Removal via Masked Adaptive Instance Normalization
  19 Apr 2021 1 repository listed
  Shadow removal is an important yet challenging task in image processing and computer vision.

Syntology lines on 1 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.