Browse State-of-the-Art › Local Distortion
Local Distortion
12 papers with code · 1 benchmark · 1 dataset 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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| DocUNet (5 rows) | DocTr++ | Deep Unrestricted Document Image Rectification | code | — | Compare |
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
1 dataset 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
12 shown of 12 papers with code (25 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.
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20 Jan 2025 1 repository listedThe proposed network mainly consists of three parts: a backbone for extracting multiscale features from the viewport sequence, a multitask feature selection module for dynamically allocating specific features to…
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3 Dec 2024 1 repository listed Syntology ran 3 of 6 samples · 3 unverified · 6 pointer-only (licence)Finally, our analysis indicates that global semantic information is conducive to suppressing both repetitive generation and local distortion.
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13 Sep 2024 1 repository listedThe framework is established with a triadic synergy architecture, including principal and dual auxiliary branches.
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1 Jan 2024 1 repository listedFurther we propose a local distortion extractor to obtain local distortion features from the pretrained CNNs and a local distortion injector to inject the local distortion features into ViT.
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6 Aug 2023 1 repository listed Syntology ran 3 of 10 samples · 7 unverified · 10 pointer-only (licence)Our approach to IQA involves the design of a heuristic coarse-to-fine network (CFANet) that leverages multi-scale features and progressively propagates multi-level semantic information to low-level representations in a…
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18 Apr 2023 1 repository listedTo our best knowledge, this is the first learning-based method for the rectification of unrestricted document images.
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15 Nov 2021 1 repository listedHowever, due to the curved and highly variable in vivo shape of the placenta, interpreting and visualizing these images is difficult.
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20 Jul 2020 1 repository listedCapturing images of documents is one of the easiest and most used methods of recording them.
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10 Apr 2020 1 repository listed Syntology ran 0 of 6 samples · 6 unverifiedWhile most prior work focuses on synthetic input shapes, our formulation is designed to be applicable to real-world scans with imperfect input correspondences and various types of noise.
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1 Oct 2019 1 repository listedIn this work, we propose DewarpNet, a deep-learning approach for document image unwarping from a single image.
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1 Jun 2018 1 repository listedThe network is trained on this dataset with various data augmentations to improve its generalization ability.
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1 Oct 2016 1 repository listedAn objective function is designed for specifying the desired characteristics of the warps.
Syntology lines on 3 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections