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save_images

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

save_images appears in the code Syntology harvested for 24 papers, as 23 distinct code bodies found in 27 places (a place is one code body under one paper). At least one of them ran in 2 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 save_images 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 23 distinct code bodies named save_images; 21 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
0ran
21unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 27 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

24 papers shown of 24, newest first; 27 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
Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization added by Syntology 2026-02 (from id) ncsu-dk-lab/E2D/Branch_ImageNet_1K/recover/recover.py 4d8fa3fd7b605b98 unverified no licence file found · pointer only
Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning added by Syntology 2025-10 (from id) RuilinTong/PMI-CFS-DFCL/CLIP/inversion/layer_wise_clip_inversion.py d221295c5e9328e2 unverified MIT (permissive)
Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure 2 Mar 2025 KU-MLIP/2-Layer-NNs-with-Gaussian-Mixtures-Data/utils.py eb49535f1d6b6115 unverified MIT (permissive)
AnyText2: Visual Text Generation and Editing With Customizable Attributes 22 Nov 2024 tyxsspa/anytext2/util.py d1b4375d285cdec5 unverified Apache-2.0 (permissive)
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation? 21 Oct 2024 he-y/soft-label-pruning-for-dataset-distillation/recover/data_synthesis_class.py b9be5012db1c17e9 unverified no licence file found · pointer only
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator 13 Aug 2024 zhangxin-xd/UFC/ufc_generation/ufc_cifar.py 42d3426a70fba1c8 unverified no licence file found · pointer only
ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints 3 Aug 2023 kfirgoldberg/ConceptLab/scripts/infer.py 629ea3e8b6eee3e4 ran · honoured contract MIT (permissive)
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective 22 Jun 2023 shaoshitong/EDC/Branch_full_ImageNet_1k/recover/data_synthesis_without_optim.py d8624e240350037c unverified no licence file found · pointer only
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective 22 Jun 2023 VILA-Lab/SRe2L/SRe2L/recover/data_synthesis.py 4d9354edd6cfce15 unverified no licence file found · pointer only
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge 24 May 2023 alpc91/NICE-GAN-pytorch/utils.py 5b8b7a85da8c0a00 unverified MIT (permissive)
Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation 5 Jan 2022 prstrive/unimvsnet/tools.py 5c7bd35439896682 unverified MIT (permissive)
Training Generative Adversarial Networks with Limited Data 11 Jun 2020 sangyun884/Face2Webtoon/utils.py 5b8b7a85da8c0a00 unverified MIT (permissive)
Feature Quantization Improves GAN Training 5 Apr 2020 taki0112/UGATIT/utils.py dfa35c437d3cf0d5 unverified MIT (permissive)
StarGAN v2: Diverse Image Synthesis for Multiple Domains 4 Dec 2019 taki0112/StarGAN_v2-Tensorflow/utils.py 9d2adbb5b1cd4527 unverified MIT (permissive)
Spatiotemporal Tile-based Attention-guided LSTMs for Traffic Video Prediction 24 Oct 2019 tumeteor/neurips2019challenge/src/utils.py 6cfe59ac62430d63 unverified Apache-2.0 (permissive)
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation 25 Jul 2019 znxlwm/UGATIT-pytorch/utils.py 5b8b7a85da8c0a00 unverified MIT (permissive)
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation 25 Jul 2019 WuZhewei/my_First_GAN_tryout/utils.py dfa35c437d3cf0d5 unverified MIT (permissive)
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation 25 Jul 2019 minivision-ai/photo2cartoon/utils/utils.py d5ad87b0555590d1 unverified MIT (permissive)
Robustness of Conditional GANs to Noisy Labels 8 Nov 2018 POLane16/Robust-Conditional-GAN/mnist/utils.py 3218db3da6c1ad6c unverified MIT (permissive)
Image-to-image translation for cross-domain disentanglement 24 May 2018 agonzgarc/cross-domain-disen/run_cross_domain_disen.py deb46be3575f1707 unverified licence not identified · pointer only
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees 23 Feb 2018 shahviraj/pgdgan/src/dcgan_utils.py 7106489a5f1b418d unverified MIT (permissive)
Language-Based Image Editing with Recurrent Attentive Models 16 Nov 2017 Jianbo-Lab/LBIE/generate_image.py b5c388ec8f4ba85f ran · our draft was wrong no licence file found · pointer only
Dynamic Routing Between Capsules 26 Oct 2017 JunYeopLee/capsule-networks/capsNet/utils.py 904b93c8951de375 unverified Apache-2.0 (permissive)
Compressed Sensing using Generative Models 9 Mar 2017 AshishBora/csgm/src/dcgan_utils.py 7106489a5f1b418d unverified MIT (permissive)
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks 17 Jan 2017 LMescheder/AdversarialVariationalBayes/avb/utils.py 9efe599ca7ebe77a unverified MIT (permissive)
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy 14 Nov 2016 dougalsutherland/opt-mmd/gan/utils.py 2f2d81eff705fc69 unverified BSD-3-Clause (permissive)
Is the deconvolution layer the same as a convolutional layer? 22 Sep 2016 atriumlts/subpixel/utils.py 22bcbbee304eaa07 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