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pad_image

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

pad_image appears in the code Syntology harvested for 27 papers, as 18 distinct code bodies found in 28 places (a place is one code body under one paper). At least one of them ran in 12 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 pad_image 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 18 distinct code bodies named pad_image; 12 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
3ran · fixture could not drive it
3ran
12unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 28 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

27 papers shown of 27, newest first; 28 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. 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
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation 26 May 2025 PKU-YuanGroup/ConsisID/util/rife_model.py 371391555c7fdb5b unverified Apache-2.0 (permissive)
Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy 2025-03 (from id) naver-ai/JOOD/utils/mixaug.py 2c29c54e97b0d015 ran · fixture could not drive it Apache-2.0 (permissive)
InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction 26 Mar 2025 langmanbusi/insvie/CogVideo/inference/gradio_composite_demo/rife_model.py 7668884d687f766a unverified MIT (permissive)
Ola: Pushing the Frontiers of Omni-Modal Language Model 6 Feb 2025 ola-omni/ola/ola/mm_utils.py 1aa848dda4bdce79 ran Apache-2.0 (permissive)
PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation 30 Nov 2024 pittisl/phyt2v/inference/gradio_composite_demo/rife_model.py 371391555c7fdb5b unverified no licence file found · pointer only
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution 19 Sep 2024 Oryx-mllm/Oryx/oryx/mm_utils.py 1aa848dda4bdce79 ran MIT (permissive)
Swin-LiteMedSAM: A Lightweight Box-Based Segment Anything Model for Large-Scale Medical Image Datasets 11 Sep 2024 ruochengao/swin_litemedsam/infer.py 73d1b119c9003996 ran · fixture could not drive it fingerprinted MIT (permissive)
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding 5 Sep 2024 yunzeman/lexicon3d/lexicon3d/models.py 28ad88e75cdc78c6 unverified MIT (permissive)
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification 5 Dec 2023 vturrisi/disef/generation/synthetic_augmentation_pipeline.py a37d63f7ecc2e5c4 ran MIT (permissive)
ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation 30 Nov 2023 moayedhajiali/elasticdiffusion-official/elastic_diffusion_w_controlnet.py c7ad7a82d367fd09 ran no licence file found · pointer only
DemoFusion: Democratising High-Resolution Image Generation With No $$$ 24 Nov 2023 PRIS-CV/DemoFusion/gradio_demo_controlnet.py c7ad7a82d367fd09 ran MIT (permissive)
Visual Language Maps for Robot Navigation 11 Oct 2022 vlmaps/vlmaps/vlmaps/lseg/additional_utils/encoding_models.py c841af767c5be986 unverified MIT (permissive)
Visual Language Maps for Robot Navigation 11 Oct 2022 vlmaps/vlmaps/vlmaps/lseg/additional_utils/models.py 28ad88e75cdc78c6 unverified MIT (permissive)
Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation 6 Sep 2021 ziniuwan/maed/lib/data_utils/img_utils.py 6578f5f4135e25e7 unverified MIT (permissive)
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration 13 Apr 2021 junyuchen245/ViT-V-Net_for_3D_Image_Registration_Pytorch/ViT-V-Net/utils.py 8770070b3c55b833 unverified MIT (permissive)
All you need are a few pixels: semantic segmentation with PixelPick 13 Apr 2021 yazdaniamir38/madbal/inference_VOC.py b62891686b976239 unverified MIT (permissive)
Regularizing Deep Networks with Semantic Data Augmentation 21 Jul 2020 speedinghzl/pytorch-segmentation-toolbox/evaluate.py 6ec02fe7ffee8530 ran · fixture could not drive it MIT (permissive)
Continual Adaptation for Deep Stereo 10 Jul 2020 CVLAB-Unibo/Real-time-self-adaptive-deep-stereo/Data_utils/preprocessing.py 683bb31446329db4 unverified Apache-2.0 (permissive)
SegFix: Model-Agnostic Boundary Refinement for Segmentation 8 Jul 2020 PkuRainBow/OCNet/generate_submit.py 6ec02fe7ffee8530 ran · fixture could not drive it MIT (permissive)
AlignSeg: Feature-Aligned Segmentation Networks 24 Feb 2020 speedinghzl/AlignSeg/evaluate.py 6ec02fe7ffee8530 ran · fixture could not drive it MIT (permissive)
A Simple Framework for Contrastive Learning of Visual Representations 13 Feb 2020 giakou4/pyfeats/pyfeats/utilities.py 98c1de629745feab unverified MIT (permissive)
Boundary-Aware Feature Propagation for Scene Segmentation 31 Aug 2019 henghuiding/BFP/utils/models/base.py c841af767c5be986 unverified MIT (permissive)
Learning to Adapt for Stereo 5 Apr 2019 CVLAB-Unibo/Learning2AdaptForStereo/Data_utils/preprocessing.py 683bb31446329db4 unverified Apache-2.0 (permissive)
Structured Knowledge Distillation for Dense Prediction 11 Mar 2019 irfanICMLL/structure_knowledge_distillation/networks/evaluate.py 6ec02fe7ffee8530 ran · fixture could not drive it BSD-2-Clause (permissive)
CCNet: Criss-Cross Attention for Semantic Segmentation 28 Nov 2018 speedinghzl/CCNet/evaluate.py 6ec02fe7ffee8530 ran · fixture could not drive it MIT (permissive)
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks 25 Feb 2016 UrosOgrizovic/SimpleGoogleQuickdraw/image_operations.py ffc86641164a4445 unverified MIT (permissive)
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition 21 Jul 2015 kurapan/CRNN/utils.py 92b4c2d4b7627a61 unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 Muthu2093/U-Net-for-Brain-Tumor-Segmentation/code-python2/get_input_data.py 1e609ffe905fc57a 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