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reorder_image

Syntologyentry name in harvested coderead from the graph 2026-09-24

reorder_image appears in the code Syntology harvested for 18 papers, as 1 distinct code body found in 18 places (a place is one code body under one paper). At least one of them ran in 18 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named reorder_image do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 1 of the 1 distinct code body named reorder_image; 0 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
1ran
0unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 18 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

18 papers shown of 18, newest first; 18 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 1 papers added by Syntology; 2 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Restoring Without Forgetting: Continual Learning Across Image Degradations added by Syntology 2026-08 (from id) AlifAshrafee/Restoring-Without-Forgetting/restormer/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran no licence file found · pointer only
MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery 23 May 2025 hainuo-wang/modem/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran MIT (permissive)
Progressive Focused Transformer for Single Image Super-Resolution 26 Mar 2025 labshuhanggu/pft-sr/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran Apache-2.0 (permissive)
FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration 2 Dec 2024 House-Leo/FoundIR/metrics/metric_util.py 95067518dc16b3e5 ran MIT (permissive)
DAVIDE: Depth-Aware Video Deblurring 2 Sep 2024 germanftv/DAVIDE-Benckmark/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran MIT (permissive)
OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal 21 Aug 2024 QMoQ/OAPT/oapt/models/myb_model.py 95067518dc16b3e5 ran no licence file found · pointer only
Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement 6 May 2024 YhuoyuH/RetinexMamba/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran MIT (permissive)
Activating Wider Areas in Image Super-Resolution 13 Mar 2024 arsenalcheng/mma/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran Apache-2.0 (permissive)
CascadedGaze: Efficiency in Global Context Extraction for Image Restoration 26 Jan 2024 Ascend-Research/CascadedGaze/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran MIT (permissive)
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring 29 Dec 2023 thqiu0419/mlwnet/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran no licence file found · pointer only
Perception-Distortion Balanced Super-Resolution: A Multi-Objective Optimization Perspective 24 Dec 2023 csslc/ea-adam/losses/utils.py 95067518dc16b3e5 ran no licence file found · pointer only
Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration 28 Nov 2023 zhihefang/wf-diff/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran no licence file found · pointer only
MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing 27 Aug 2023 fvl2020/iccv-2023-mb-taylorformer/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran no licence file found · pointer only
Dual Aggregation Transformer for Image Super-Resolution 7 Aug 2023 zhengchen1999/dat/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran Apache-2.0 (permissive)
Recursive Generalization Transformer for Image Super-Resolution 11 Mar 2023 zhengchen1999/RGT/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran Apache-2.0 (permissive)
Simple Baselines for Image Restoration 10 Apr 2022 murufeng/FUIR/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran Apache-2.0 (permissive)
arXiv:ijcai2024_0081 JPWang-CS/FreqFormer/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran Apache-2.0 (permissive)
arXiv:Kong_Efficient_Frequency_Domain-Based_Transformers_for_High-Quality_Image_Deblurring_CVPR_2023_paper kkkls/FFTformer/basicsr/metrics/metric_util.py 95067518dc16b3e5 ran MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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