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gaussian_blur

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

gaussian_blur appears in the code Syntology harvested for 17 papers, as 16 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 5 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 gaussian_blur 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 5 of the 16 distinct code bodies named gaussian_blur; 11 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
4ran · fixture could not drive it
1ran
11unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 3 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 2 papers added by Syntology. 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
Spectrum Matching: a Unified Perspective for Superior Diffusability in Latent Diffusion added by Syntology 2026-03 (from id) forever208/SpectrumMatching/utils_DCT.py b87f39d183e447a3 ran · fixture could not drive it no licence file found · pointer only
BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing added by Syntology 2025-11 (from id) jsu-kim/BlurGuard/BlurGuard/code/blurguard.py d5267c3f0268fc4d unverified MIT (permissive)
Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector 26 Mar 2025 chelsea234/m2f2_det/dataset/process.py e2b206e653829624 unverified MIT (permissive)
CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI 24 Mar 2025 Megum1/Co-Spy/detectors/progan/fusion.py e51a12966ba2acaa unverified MIT (permissive)
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli 3 Nov 2024 mtangemann/motion_energy_segmentation/motion_energy_segmentation/simoncelli_heeger.py e80b052ebb25be5a unverified no licence file found · pointer only
On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection 31 Oct 2024 sparklexfantasy/mm-det/dataset/process.py e2b206e653829624 unverified Apache-2.0 (permissive)
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data 6 Jun 2024 qihao067/direct3d/lib/core/evaluation/metrics.py 9c85066b4c48bea0 ran MIT (permissive)
D$^3$: Scaling Up Deepfake Detection by Learning from Discrepancy 6 Apr 2024 bigaandsmallq/d3/validate_for_robustness.py bf0a15612beace6e ran · fixture could not drive it no licence file found · pointer only
Harmonizing the object recognition strategies of deep neural networks with humans 8 Nov 2022 serre-lab/harmonization/harmonization/common/blur.py db2d5a2351ace6a7 unverified MIT (permissive)
SMD-Nets: Stereo Mixture Density Networks 8 Apr 2021 fabiotosi92/SMD-Nets/lib/model/SMDHead.py e2fb247c688205e5 unverified MIT (permissive)
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning 15 Jul 2020 WilhelmT/ClassMix/utils/transformsgpu.py b36157ea719029fe unverified MIT (permissive)
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments 17 Jun 2020 ayulockin/SwAV-TF/utils/multicrop_dataset.py c0f578da1f63b8dc ran · fixture could not drive it Apache-2.0 (permissive)
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning 24 Apr 2020 microsoft/DisentangledFaceGAN/training/loss_control.py 00e0c8745f3f99e9 unverified MIT (permissive)
Attribution in Scale and Space 3 Apr 2020 PAIR-code/saliency/saliency/core/blur_ig.py 670c947246c122ba ran · fixture could not drive it fingerprinted Apache-2.0 (permissive)
Distribution-Aware Coordinate Representation for Human Pose Estimation 14 Oct 2019 Klawens/SwinPose/lib/core/inference.py a81d7a40407a092a unverified Apache-2.0 (permissive)
HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images 16 Dec 2018 vqdang/xy_net/dataloader/augs.py 42132ecf8f16ab87 unverified MIT (permissive)
Image-to-Image Translation with Conditional Adversarial Networks 21 Nov 2016 Mingtzge/2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement/cut_twist_process/twist_part.py 535c1b5818e3411e 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".

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