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imresize

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

imresize appears in the code Syntology harvested for 28 papers, as 18 distinct code bodies found in 28 places (a place is one code body under one paper). At least one of them ran in 10 of the papers; 3 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 imresize 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 7 of the 18 distinct code bodies named imresize; 11 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
1ran · fixture could not drive it
5ran
11unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 28 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

28 papers shown of 28, newest first; 28 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; 1 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
arXiv:2507.01630 2025-07 (from id) YuxiaoWang-AI/P3HOT/hot/dataset.py e23968c493407287 unverified no licence file found · pointer only
FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration 2 Dec 2024 House-Leo/FoundIR/matlab_functions.py dfb4171d25811492 unverified MIT (permissive)
OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal 21 Aug 2024 QMoQ/OAPT/oapt/matlab_functions.py c6ed12ec55cbdc95 ran fingerprinted no licence file found · pointer only
HAIR: Hypernetworks-based All-in-One Image Restoration 15 Aug 2024 toummHus/HAIR/utils/imresize.py c38287d2acea0ce0 ran no licence file found · pointer only
Correlation Matching Transformation Transformers for UHD Image Restoration 2 Jun 2024 supersupercong/uhdformer/comput_psnr_ssim.py a418150375355db5 ran fingerprinted licence not identified · pointer only
Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method 27 May 2024 cschenxiang/udr-mixer/codes/utils/imresize.py c38287d2acea0ce0 ran no licence file found · pointer only
FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba 15 Apr 2024 milliexie/fusionmamba/TaskFusion_dataset.py 00e203d4beb022a6 ran no licence file found · pointer only
Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration 2 Apr 2024 akshaydudhane16/dynet/utils/imresize.py c38287d2acea0ce0 ran MIT (permissive)
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation 21 Mar 2024 c-yn/adair/utils/imresize.py c38287d2acea0ce0 ran MIT (permissive)
Perception-Distortion Balanced Super-Resolution: A Multi-Objective Optimization Perspective 24 Dec 2023 csslc/ea-adam/losses/utils.py 7f0846637ba092d1 ran fingerprinted no licence file found · pointer only
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions 14 Jul 2022 brdav/refign/data_modules/transforms.py 829786bd057fa44a unverified MIT (permissive)
SOTR: Segmenting Objects with Transformers 15 Aug 2021 easton-cau/SOTR/adet/modeling/sotr/utils.py 7cbc4b61be2d9a91 unverified MIT (permissive)
SOLOv2: Dynamic and Fast Instance Segmentation 23 Mar 2020 OpenFirework/pytorch_solov2/modules/solov2.py ad19e0bbc6e19afc ran · fixture could not drive it no licence file found · pointer only
Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data 21 Mar 2020 CalciferZh/minimal-hand/utils.py 81cc19c4bc15b8bd unverified MIT (permissive)
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation 18 Mar 2020 YingdaXia/SynthCP/anomaly/dataset.py e23968c493407287 unverified MIT (permissive)
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System 13 Feb 2020 gkahn13/badgr/src/badgr/utils/np_utils.py 7aaa497de4c09c3a unverified MIT (permissive)
Scaling Out-of-Distribution Detection for Real-World Settings 25 Nov 2019 hendrycks/anomaly-seg/dataset.py e23968c493407287 unverified MIT (permissive)
Blind Super-Resolution Kernel Estimation using an Internal-GAN 14 Sep 2019 Lornatang/KernelGAN/imresize.py 7b064b7f22f1a281 unverified Apache-2.0 (permissive)
Deep High-Resolution Representation Learning for Visual Recognition 20 Aug 2019 CSAILVision/semantic-segmentation-pytorch/mit_semseg/dataset.py e23968c493407287 unverified BSD-3-Clause (permissive)
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing 22 Apr 2019 csmliu/STGAN/imlib/transform.py bc12329c875db868 unverified MIT (permissive)
High-Resolution Representations for Labeling Pixels and Regions 9 Apr 2019 kukby/Mish-semantic-segmentation-pytorch/dataset.py e23968c493407287 unverified BSD-3-Clause (permissive)
Deep Learning for Classical Japanese Literature 3 Dec 2018 huckiyang/MOT-Kuzushiji-Fashion-Video/modules/utils.py 4f41ef64fff1779d unverified MIT (permissive)
A Comprehensive Survey of Deep Learning for Image Captioning 6 Oct 2018 skywolf829/CSE5559_Final_Project/old_CNN/dataset.py e23968c493407287 unverified MIT (permissive)
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks 1 Sep 2018 HyeongJu916/Boaz-SR-ESRGAN-PyTorch/esrgan_pytorch/utils.py 5dcd30c949329aa2 unverified Apache-2.0 (permissive)
Unified Perceptual Parsing for Scene Understanding 26 Jul 2018 starkgines/PDI/mit_semseg/dataset.py e23968c493407287 unverified BSD-3-Clause (permissive)
Invertible Conditional GANs for image editing 19 Nov 2016 nguyenquangduc2000/AttGAN/imlib/transform.py bc12329c875db868 unverified MIT (permissive)
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree 30 Sep 2015 BeanGreen247/Python-AI-Arts/utils.py d39af5f660f0b9c8 unverified Apache-2.0 (permissive)
A Neural Algorithm of Artistic Style 26 Aug 2015 anishathalye/neural-style/neural_style.py 119c4329189eec69 ran · our draft was wrong GPL-3.0 (copyleft) · pointer only

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