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ms_ssim

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

ms_ssim appears in the code Syntology harvested for 10 papers, as 7 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 0 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 ms_ssim 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 0 of the 7 distinct code bodies named ms_ssim; 7 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
0ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 10 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

10 papers shown of 10, newest first; 10 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; 3 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
Video Seal: Open and Efficient Video Watermarking 12 Dec 2024 facebookresearch/videoseal/videoseal/losses/ssim.py 3ba1a73724675e43 unverified MIT (permissive)
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation 8 Sep 2024 axi404/pmt/code/utils/ssim.py b00b0478090975d8 unverified no licence file found · pointer only
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement 27 Mar 2023 Vishal-V/FSDA-LowLight/pytorch_msssim/ssim.py 9eed7a6520919cad unverified MIT (permissive)
Adversarial score matching and improved sampling for image generation 11 Sep 2020 AlexiaJM/AdversarialConsistentScoreMatching/losses/ssim.py 488d353bf6efcbec unverified MIT (permissive)
Plug-and-Play Image Restoration with Deep Denoiser Prior 31 Aug 2020 HedgehogCode/denoising-gan/dngan/metrics.py c45644bf0bcadf02 unverified MIT (permissive)
Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules 6 Jan 2020 LiuLei95/PyTorch-Learned-Image-Compression-with-GMM-and-Attention/models/ms_ssim_torch.py 7ea107a5705e6f95 unverified Apache-2.0 (permissive)
End-to-end Optimized Image Compression 5 Nov 2016 liujiaheng/iclr_17_compression/models/ms_ssim_torch.py 7ea107a5705e6f95 unverified MIT (permissive)
arXiv:Yang_TINC_Tree-Structured_Implicit_Neural_Compression_CVPR_2023_paper RichealYoung/TINC/utils/ssim.py 22ea7e9167c99736 unverified MIT (permissive)
arXiv:Wang_MCF_Mutual_Correction_Framework_for_Semi-Supervised_Medical_Image_Segmentation_CVPR_2023_paper WYC-321/MCF/code/utils/ssim.py b00b0478090975d8 unverified MIT (permissive)
arXiv:Huang_Fast_Light-Field_Disparity_Estimation_With_Multi-Disparity-Scale_Cost_Aggregation_ICCV_2021_paper zcong17huang/FastLFnet/codeStep1/utils/loss_function.py 7ea107a5705e6f95 unverified 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