Shadow Detection And Removal

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (11 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.

• 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.
• 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.
• 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…
• 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.
• Learning from Synthetic Shadows for Shadow Detection and Removal
  5 Jan 2021 1 repository listed
  To overcome this challenge, we present SynShadow, a novel large-scale synthetic shadow/shadow-free/matte image triplets dataset and a pipeline to synthesize it.
• Local Water-Filling Algorithm for Shadow Detection and Removal of Document Images
  4 Dec 2020 1 repository listed
  The proposed method can remove the shading artifacts and outperform some state-of-the-art methods, especially for the removal of shadow boundaries.
• Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?
  15 Nov 2018 1 repository listed
  Non-uniform and multi-illuminant color constancy are important tasks, the solution of which will allow to discard information about lighting conditions in the image.

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.