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ncsn_conv1x1

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

ncsn_conv1x1 appears in the code Syntology harvested for 21 papers, as 2 distinct code bodies found in 21 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 ncsn_conv1x1 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 2 distinct code bodies named ncsn_conv1x1; 2 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
2unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 21 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

21 papers shown of 21, newest first; 21 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 3 papers added by Syntology; 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
3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models added by Syntology 2026-03 (from id) SusanneSchaub/TPDM_Implant_Inpainting/models/layers.py 85b2235eb7afaa4f unverified no licence file found · pointer only
HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing added by Syntology 2025-09 (from id) cloor/HazeFlow/models/layers.py 85b2235eb7afaa4f unverified MIT (permissive)
Quantum latent distributions in deep generative models added by Syntology 2025-08 (from id) NVlabs/denoising-diffusion-gan/score_sde/models/layers.py 85b2235eb7afaa4f unverified no licence file found · pointer only
Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training 13 Dec 2024 uzn36/dp-syngen/model/layers.py 85b2235eb7afaa4f unverified no licence file found · pointer only
FlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot Manipulation 2024-12 (from id) zql-kk/flowpolicy/FlowPolicy/flow_policy_3d/models/layers.py 85b2235eb7afaa4f unverified MIT (permissive)
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow 17 Jul 2024 yuanzhi-zhu/SlimFlow/models/layers.py 85b2235eb7afaa4f unverified no licence file found · pointer only
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems 15 Jul 2024 hj-harry/ddip3d/models/layers.py 85b2235eb7afaa4f unverified no licence file found · pointer only
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency 2 Jul 2024 yangling0818/consistency_flow_matching/models/layers.py 85b2235eb7afaa4f unverified MIT (permissive)
EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation 10 Jun 2024 sp-uhh/sgmse/sgmse/backbones/ncsnpp_utils/layers.py 85b2235eb7afaa4f unverified MIT (permissive)
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching 29 May 2024 YasminZhang/ICTM/models/layers.py 85b2235eb7afaa4f unverified MIT (permissive)
Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting 29 Mar 2024 htyjers/StrDiffusion/train/discriminator/config/inpainting/models/layers.py 85b2235eb7afaa4f unverified Apache-2.0 (permissive)
Bellman Optimal Stepsize Straightening of Flow-Matching Models 27 Dec 2023 nguyenngocbaocmt02/boss/ImageGeneration/models/layers.py 85b2235eb7afaa4f unverified no licence file found · pointer only
Restoration based Generative Models 20 Feb 2023 Jae-Moo/RGM/models/layers.py 85b2235eb7afaa4f unverified MIT (permissive)
Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement 28 Feb 2023 sp-uhh/sgmse-bbed/sgmse/backbones/ncsnpp_utils/layers.py 85b2235eb7afaa4f unverified MIT (permissive)
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control 7 Feb 2023 sulam-group/k-rcps/experiments/models/layers.py 85b2235eb7afaa4f unverified MIT (permissive)
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation 9 Oct 2022 sony/fp-diffusion/models/layers.py 85b2235eb7afaa4f unverified Apache-2.0 (permissive)
gDDIM: Generalized denoising diffusion implicit models 11 Jun 2022 qsh-zh/gDDIM/blur_jax/models/layers.py 0565e49d381b2ef0 unverified Apache-2.0 (permissive)
Subspace Diffusion Generative Models 3 May 2022 bjing2016/subspace-diffusion/models/layers.py 85b2235eb7afaa4f unverified Apache-2.0 (permissive)
Score-based diffusion models for accelerated MRI 8 Oct 2021 HJ-harry/score-MRI/models/layers.py 85b2235eb7afaa4f unverified Apache-2.0 (permissive)
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation 10 Jun 2021 Kim-Dongjun/Soft-Truncation/models/layers.py 85b2235eb7afaa4f unverified Apache-2.0 (permissive)
arXiv:Chung_Solving_3D_Inverse_Problems_Using_Pre-Trained_2D_Diffusion_Models_CVPR_2023_paper HJ-harry/DiffusionMBIR/models/layers.py 85b2235eb7afaa4f 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".

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