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dict_to_nonedict

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

dict_to_nonedict appears in the code Syntology harvested for 22 papers, as 3 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 20 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 dict_to_nonedict 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 3 distinct code bodies named dict_to_nonedict; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
1ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 22 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

22 papers shown of 22, newest first; 22 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
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration 26 Jun 2024 kangliao929/noise-da/core/praser.py 38e77ca35f1f8bcb ran licence not identified · pointer only
Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models 15 Apr 2024 algolzw/daclip-uir/universal-image-restoration/config/daclip-sde/options.py ada7273eee7081c7 ran · our draft was wrong MIT (permissive)
Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting 29 Mar 2024 htyjers/StrDiffusion/train/discriminator/config/inpainting/options.py ada7273eee7081c7 ran · our draft was wrong Apache-2.0 (permissive)
Learning A Physical-aware Diffusion Model Based on Transformer for Underwater Image Enhancement 3 Mar 2024 chenydong/pa-diff/core/logger.py ada7273eee7081c7 ran · our draft was wrong Apache-2.0 (permissive)
Multi-scale Reconstruction of Turbulent Rotating Flows with Generative Diffusion Models 2023-12 (from id) smartturb/palette-turb/core/praser.py 38e77ca35f1f8bcb ran MIT (permissive)
DREAM: Diffusion Rectification and Estimation-Adaptive Models 30 Nov 2023 jinxinzhou/dream/sr3/core/logger.py ada7273eee7081c7 ran · our draft was wrong no licence file found · pointer only
Neural Degradation Representation Learning for All-In-One Image Restoration 19 Oct 2023 mdyao/NDR-Restore/options/options.py ada7273eee7081c7 ran · our draft was wrong MIT (permissive)
Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models 11 Oct 2023 ryliu68/CDMA/core/praser.py 38e77ca35f1f8bcb ran MIT (permissive)
Controlling Vision-Language Models for Multi-Task Image Restoration 2 Oct 2023 Algolzw/daclip-uir/universal-image-restoration/config/daclip-sde/options.py ada7273eee7081c7 ran · our draft was wrong MIT (permissive)
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images 8 Aug 2023 xavierjiezou/diffcr/core/praser.py 38e77ca35f1f8bcb ran no licence file found · pointer only
MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution 16 Jul 2023 sichun233746/MoTIF/option.py ada7273eee7081c7 ran · our draft was wrong no licence file found · pointer only
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution 4 Apr 2023 brian-moser/diwa/core/logger.py ada7273eee7081c7 ran · our draft was wrong Apache-2.0 (permissive)
AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models 24 Aug 2022 nithin-gk/at-ddpm/core/logger.py ada7273eee7081c7 ran · our draft was wrong Apache-2.0 (permissive)
DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection 23 Jun 2022 wgcban/ddpm-cd/core/logger.py ada7273eee7081c7 ran · our draft was wrong MIT (permissive)
SRFlow: Learning the Super-Resolution Space with Normalizing Flow 25 Jun 2020 liyuantsao/BFSR/SRFlow-LP/code/options/options.py ada7273eee7081c7 ran · our draft was wrong no licence file found · pointer only
Invertible Image Rescaling 12 May 2020 JoegameZhou/ms-irn/src/options/options.py f729c1e42588847e unverified Apache-2.0 (permissive)
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery 7 Jul 2019 lyqcom/irn/src/options/options.py f729c1e42588847e unverified Apache-2.0 (permissive)
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks 7 May 2019 zhusiling/EDVR/codes/options/options.py ada7273eee7081c7 ran · our draft was wrong Apache-2.0 (permissive)
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network 15 Sep 2016 shirsenduhalder/SRResGAN-Improved-Perceptual/options/options.py ada7273eee7081c7 ran · our draft was wrong MIT (permissive)
arXiv:ijcai2022_0196 wanghu178/KUNet/codes/options/options.py ada7273eee7081c7 ran · our draft was wrong MIT (permissive)
arXiv:aaai_28199 YoferChen/FedST/core/praser.py 38e77ca35f1f8bcb ran Apache-2.0 (permissive)
arXiv:Xie_Diffusion-based_Event_Generation_for_High-Quality_Image_Deblurring_CVPR_2025_paper XinanXie/EGDeblurring/core/logger.py ada7273eee7081c7 ran · our draft was wrong 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