Home › Code › SSIM

SSIM

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

SSIM appears in the code Syntology harvested for 17 papers, as 15 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 6 of the papers; 6 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 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 6 of the 15 distinct code bodies named SSIM; 9 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
6ran
9unverified
6fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 17 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

17 papers shown of 17, newest first; 17 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
Distribution Matching Variational AutoEncoder added by Syntology 2025-12 (from id) sen-ye/dmvae/evaluation/metrics.py 6879ea6f96056642 unverified no licence file found · pointer only
Cosmos World Foundation Model Platform for Physical AI 7 Jan 2025 nvlabs/tokenbench/token_bench/metrics_cli.py 4ea7aadfca86cd09 unverified Apache-2.0 (permissive)
Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail 5 Dec 2024 bartn8/stereoanywhere/losses.py cceab5d7261d917d unverified licence not identified · pointer only
Conditional Controllable Image Fusion 3 Nov 2024 jehovahxu/CCF/guided_diffusion/gaussian_diffusion_LLVIP_optim.py 58cd1943b2334137 ran fingerprinted no licence file found · pointer only
Unified Unsupervised Salient Object Detection via Knowledge Transfer 23 Apr 2024 I2-Multimedia-Lab/A2S-v3/base/loss.py 6ebeaf436b45f7d3 unverified MIT (permissive)
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile 8 Mar 2024 ykykyk112/STIG/model/stig_model.py 601a8fd30557fb04 ran fingerprinted no licence file found · pointer only
Bilateral Reference for High-Resolution Dichotomous Image Segmentation 7 Jan 2024 zhengpeng7/birefnet/loss.py 32a9ebc9a8eebc49 ran fingerprinted MIT (permissive)
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields 14 Aug 2023 Madaoer/S3IM-Neural-Fields/model_components/s3im.py f2c9620464efabbd ran fingerprinted MIT (permissive)
A comparative evaluation of image-to-image translation methods for stain transfer in histopathology 29 Mar 2023 Boehringer-Ingelheim/stain-transfer/src/data_processing/metrics.py 958eeae378bdc754 unverified BSD-2-Clause (permissive)
KBNet: Kernel Basis Network for Image Restoration 6 Mar 2023 zhangyi-3/kbnet/Defocus_Deblurring/utils.py 80d62faa4ff31b49 unverified MIT (permissive)
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics 7 Feb 2022 neurai-lab/mt-sfmlearner/mtsfmlearner/losses/multiview_photometric_loss.py 275e5e769187fecc unverified MIT (permissive)
PixelSynth: Generating a 3D-Consistent Experience from a Single Image 12 Aug 2021 crockwell/pixelsynth/models/encoderdecoder.py 0b0a41d8fc0bc9e8 ran fingerprinted no licence file found · pointer only
Layout-Guided Novel View Synthesis from a Single Indoor Panorama 31 Mar 2021 facebookresearch/synsin/models/z_buffermodel.py badaebdef7b657b8 ran fingerprinted licence not identified · pointer only
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation 17 Aug 2020 FilippoAleotti/Reversing/mono/losses.py 6d143dc92e7f5729 unverified Apache-2.0 (permissive)
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation 29 Mar 2020 lliuz/ARFlow/losses/loss_blocks.py 78ed5eb745e54bee unverified MIT (permissive)
arXiv:Zhou_Texture-Guided_Saliency_Distilling_for_Unsupervised_Salient_Object_Detection_CVPR_2023_paper moothes/A2S-v2/base/loss.py 6ebeaf436b45f7d3 unverified MIT (permissive)
arXiv:Zamir_Restormer_Efficient_Transformer_for_High-Resolution_Image_Restoration_CVPR_2022_paper swz30/Restormer/Defocus_Deblurring/utils.py 80d62faa4ff31b49 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