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batch_PSNR

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

batch_PSNR appears in the code Syntology harvested for 7 papers, as 6 distinct code bodies found in 8 places (a place is one code body under one paper). At least one of them ran in 4 of the papers; 1 of the code bodies carries 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 batch_PSNR 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 2 of the 6 distinct code bodies named batch_PSNR; 4 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
2ran
4unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 8 places is 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

7 papers shown of 7, newest first; 8 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. 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
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms 21 Aug 2023 axgoujon/weakly_convex_ridge_regularizer/training/utils/utilities.py 1391a8ffffc258ce ran no licence file found · pointer only
Random Sub-Samples Generation for Self-Supervised Real Image Denoising 31 Jul 2023 p1y2z3/sdap/utils/utils.py dfb0c5a8cd82c611 ran fingerprinted MIT (permissive)
Curriculum Learning for ab initio Deep Learned Refractive Optics 2 Feb 2023 vccimaging/deeplens/deeplens/utils.py 3775f70eab1a3340 unverified Apache-2.0 (permissive)
U-shape Transformer for Underwater Image Enhancement 23 Nov 2021 LintaoPeng/U-shape_Transformer/net/utils.py 1391a8ffffc258ce ran MIT (permissive)
Learning to Stop While Learning to Predict 9 Jun 2020 xinshi-chen/l2stop/dncnn_stop/utils.py 1391a8ffffc258ce ran MIT (permissive)
Progressive Image Deraining Networks: A Better and Simpler Baseline 26 Jan 2019 GuoQuanhao/PRNet-Paddle/utils.py a8d4fcacf0698a54 unverified MIT (permissive)
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising 13 Aug 2016 sldyns/DnCNN_paddle/infer.py 91e879f91cafe077 unverified Apache-2.0 (permissive)
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising 13 Aug 2016 sldyns/DnCNN_paddle/utils.py 5dda571212a4f9cd unverified Apache-2.0 (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