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get_image

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

get_image appears in the code Syntology harvested for 52 papers, as 43 distinct code bodies found in 56 places (a place is one code body under one paper). At least one of them ran in 12 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 get_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 12 of the 43 distinct code bodies named get_image; 31 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
9ran
31unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 15 of the 56 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

52 papers shown of 52, newest first; 56 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
WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question Answering added by Syntology 2026-04 (from id) zhuyjan/WikiSeeker/utils/utils.py d862607dc4bbee23 unverified Apache-2.0 (permissive)
EMA Policy Gradient: Taming Reinforcement Learning for LLMs with EMA Anchor and Top-k KL added by Syntology 2026-02 (from id) LunjunZhang/ema-pg/math/rllm/misc.py 8e21ff6e15adbc8f unverified MIT (permissive)
BranPO: Scalable Contrastive Branch Sampling for Long-Horizon Agentic Reinforcement Learning added by Syntology 2026-02 (from id) YubaoZhao/BranPO/rllm/misc.py 8e21ff6e15adbc8f unverified Apache-2.0 (permissive)
Towards Visual Grounding: A Survey 28 Dec 2024 linhuixiao/clip-vg/pseudo_label_generation_module/pseudo_caption_label_generation/CLIP_prefix_caption/parse_conceptual.py 0a286fb23ba005b9 unverified Apache-2.0 (permissive)
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving 19 Dec 2024 taco-group/autotrust/Dolphins/inference.py 4aa119881c0ba0a5 unverified Apache-2.0 (permissive)
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving 19 Dec 2024 taco-group/autotrust/Dolphins/inference_image.py 2baad8535868b50e unverified Apache-2.0 (permissive)
ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models 9 Dec 2024 jieyuz2/provision/provision/annotation/utils.py 4354809003526c37 unverified Apache-2.0 (permissive)
Robot Policy Learning with Temporal Optimal Transport Reward 29 Oct 2024 fuyw/TemporalOT/utils/train_utils.py d7256470f81ee1fb unverified no licence file found · pointer only
Improve Vision Language Model Chain-of-thought Reasoning 21 Oct 2024 riflezhang/llava-hound-dpo/llava_hound_dpo/data_processing/utils.py 1f804baed33a101d unverified no licence file found · pointer only
WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines 16 Oct 2024 worldcuisines/worldcuisines/evaluation/gemini.py 59daa7bc4cd39ffa unverified Apache-2.0 (permissive)
MuseTalk: Real-Time High-Fidelity Video Dubbing via Spatio-Temporal Sampling 14 Oct 2024 tmelyralab/musetalk/musetalk/utils/blending.py ee234e9bbf144430 ran licence not identified · pointer only
TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation 19 Sep 2024 liyaxuanliyaxuan/TinyVLA/eval_real_franka.py 05b9e2bfc9908f24 unverified MIT (permissive)
CogVLM2: Visual Language Models for Image and Video Understanding 29 Aug 2024 thudm/glm-4/inference/trans_web_vision_demo.py 3ff3af9bca0ae239 ran Apache-2.0 (permissive)
Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations 17 Jul 2024 ctom2/colie/utils.py ff11c5f2ecf6311f ran Apache-2.0 (permissive)
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools 18 Jun 2024 thudm/chatglm4/inference/trans_web_vision_demo.py 3ff3af9bca0ae239 ran Apache-2.0 (permissive)
ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO 17 Jun 2024 snumprlab/SRT/data_processing/utils.py 1f804baed33a101d unverified no licence file found · pointer only
The Platonic Representation Hypothesis 13 May 2024 minyoungg/platonic-rep/data.py 56bb81d6b982f638 ran no licence file found · pointer only
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond 15 Mar 2024 weitianxin/UniMP/UniMP/pipeline/eval/benchmark_otter.py 3217afe4fa565c58 unverified no licence file found · pointer only
Visual Style Prompting with Swapping Self-Attention 20 Feb 2024 naver-ai/Visual-Style-Prompting/visualize_attention_src/utils.py 93d7815126d56733 ran Apache-2.0 (permissive)
Separating common from salient patterns with Contrastive Representation Learning 19 Feb 2024 neurospin-projects/2024_rlouiset_sep_clr/celeba_accessories/create_dataset.py dca13cb42b45478e ran · honoured contract no licence file found · pointer only
The Instinctive Bias: Spurious Images lead to Illusion in MLLMs 6 Feb 2024 MasaiahHan/CorrelationQA/eval_llava.py 60c0cbaaa74fa420 ran no licence file found · pointer only
Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector 18 Dec 2023 dm4m/fsru/data_loader.py 5f96ab7604c7e01d ran no licence file found · pointer only
Dolphins: Multimodal Language Model for Driving 1 Dec 2023 safolab-wisc/dolphins/inference.py 4aa119881c0ba0a5 unverified MIT (permissive)
OtterHD: A High-Resolution Multi-modality Model 7 Nov 2023 luodian/otter/pipeline/demos/interactive/otter_image.py fe65bfdd78032556 ran MIT (permissive)
OtterHD: A High-Resolution Multi-modality Model 7 Nov 2023 luodian/otter/pipeline/demos/interactive/otter_video.py bdd50d5971d6d069 ran MIT (permissive)
OtterHD: A High-Resolution Multi-modality Model 7 Nov 2023 luodian/otter/pipeline/demos/interactive/otter_image_incontext.py 8dab437d86150725 unverified MIT (permissive)
Evaluating Object Hallucination in Large Vision-Language Models 17 May 2023 rucaibox/pope/utils.py d812ee50bd3ae6d8 unverified MIT (permissive)
Revisiting Implicit Neural Representations in Low-Level Vision 20 Apr 2023 WenTXuL/LINR/train-denoising.py fd7ec7b182289996 ran · honoured contract no licence file found · pointer only
Exploring Discrete Diffusion Models for Image Captioning 21 Nov 2022 buxiangzhiren/ddcap/parse_conceptual.py 0a286fb23ba005b9 unverified MIT (permissive)
Generative Principal Component Analysis 18 Mar 2022 liuzq09/GenerativePCA/src/celebA_estimators.py 5be799e3ef989d15 ran · honoured contract no licence file found · pointer only
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series 16 Feb 2022 khalooei/ALOCC-CVPR2018/utils.py a0b95d6b4e00d081 unverified MIT (permissive)
ClipCap: CLIP Prefix for Image Captioning 18 Nov 2021 rmokady/clip_prefix_caption/parse_conceptual.py 0a286fb23ba005b9 unverified MIT (permissive)
E-RAFT: Dense Optical Flow from Event Cameras 24 Aug 2021 uzh-rpg/e-raft/loader/utils.py ca480d2713282e55 unverified MIT (permissive)
RetinaFace: Single-stage Dense Face Localisation in the Wild 2 May 2019 qiaoxiu/facenetRetinaFace/face/infer2.py 006737632500ead2 unverified MIT (permissive)
COCO-GAN: Generation by Parts via Conditional Coordinating 30 Mar 2019 hubert0527/COCO-GAN/img_utils.py 068cd5ab0df5f40c unverified MIT (permissive)
Contrastive Variational Autoencoder Enhances Salient Features 12 Feb 2019 abidlabs/contrastive_vae/helper.py 7e1a84dc738a0cf2 unverified MIT (permissive)
Task2Vec: Task Embedding for Meta-Learning 10 Feb 2019 awslabs/aws-cv-task2vec/plot_distance_cub_inat.py 052a7c3d285c564d unverified Apache-2.0 (permissive)
A Style-Based Generator Architecture for Generative Adversarial Networks 12 Dec 2018 yan-roo/FakeFace/helper.py 7e1a84dc738a0cf2 unverified MIT (permissive)
Robustness of Conditional GANs to Noisy Labels 8 Nov 2018 POLane16/Robust-Conditional-GAN/mnist/utils.py a0b95d6b4e00d081 unverified MIT (permissive)
Robustness of Conditional GANs to Noisy Labels 8 Nov 2018 POLane16/Robust-Conditional-GAN/cifar10/common/misc.py c69f8aa044146a22 unverified MIT (permissive)
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices 20 Apr 2018 foamliu/MobileFaceNet/custom_eval.py 0a6e1a8eb8473974 unverified Apache-2.0 (permissive)
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees 23 Feb 2018 shahviraj/pgdgan/src/dcgan_utils.py 0639b692497f7a55 unverified MIT (permissive)
Query-Efficient Black-box Adversarial Examples (superceded) 19 Dec 2017 identical code first harvested elsewhere 197a1c1869bf9116 unverified licence of this copy not recorded
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks 19 Oct 2017 hanzhanggit/StackGAN/misc/utils.py 21bf8f7cea6decf5 unverified MIT (permissive)
Progressive Growing of GANs for Improved Quality, Stability, and Variation 27 Oct 2017 alexeyhorkin/ProGAN-PyTorch/samples/latent_space_interpolation.py 3b64be721c117eb3 unverified MIT (permissive)
Towards Deep Learning Models Resistant to Adversarial Attacks 19 Jun 2017 identical code first harvested elsewhere 197a1c1869bf9116 unverified licence of this copy not recorded
Ensemble Adversarial Training: Attacks and Defenses 19 May 2017 andrewilyas/ens-adv-train-attack/pi-nes.py 197a1c1869bf9116 unverified no licence file found · pointer only
Compressed Sensing using Generative Models 9 Mar 2017 AshishBora/csgm/src/dcgan_utils.py 0639b692497f7a55 unverified MIT (permissive)
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks 17 Jan 2017 LMescheder/AdversarialVariationalBayes/avb/utils.py de3420581345df2c unverified MIT (permissive)
Finding Tiny Faces 13 Dec 2016 gpspelle/Crowd-Counting/find_people.py 6126b300e57ac811 unverified MIT (permissive)
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks 10 Dec 2016 rafiahmed40/stack-adverserial-network/misc/utils.py 21bf8f7cea6decf5 unverified MIT (permissive)
Is the deconvolution layer the same as a convolutional layer? 22 Sep 2016 atriumlts/subpixel/utils.py a270ba2f61b9c333 unverified MIT (permissive)
Semantic Image Inpainting with Deep Generative Models 26 Jul 2016 InternityFoundation/SemanticInpainting/image_helpers.py f148395f10b93c68 unverified no licence file found · pointer only
Data-dependent Initializations of Convolutional Neural Networks 21 Nov 2015 cdoersch/deepcontext/utils.py 392fce2a3c3c8a86 unverified MIT (permissive)
Deeply-Supervised Nets 18 Sep 2014 ellisdg/3DUnetCNN/unet3d/utils/image.py 50a36c3ef53a39bf unverified MIT (permissive)
arXiv:2025.emnlp-main.534 RUCAIBox/POPE/utils.py d812ee50bd3ae6d8 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