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center_crop

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

center_crop appears in the code Syntology harvested for 48 papers, as 38 distinct code bodies found in 52 places (a place is one code body under one paper). At least one of them ran in 17 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 center_crop 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 10 of the 38 distinct code bodies named center_crop; 28 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
1ran · fixture could not drive it
9ran
28unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 52 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

48 papers shown of 48, newest first; 52 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; 6 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
Lumina-Image 2.0: A Unified and Efficient Image Generative Framework 27 Mar 2025 Alpha-VLLM/Lumina-Image-2.0/imgproc.py 241d401b6c9cb411 unverified Apache-2.0 (permissive)
MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation 26 Oct 2024 ljl5261/MMM-RS/Standardized_processing/HRSC2016.py 5e8db6d8b9a566fb unverified no licence file found · pointer only
MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation 26 Oct 2024 ljl5261/MMM-RS/Standardized_processing/TGRS-HRRSD.py 853f808100e34cb3 unverified no licence file found · pointer only
MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation 26 Oct 2024 ljl5261/MMM-RS/Standardized_processing/fMoW.py feeab8376692a58d unverified no licence file found · pointer only
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions 23 Sep 2024 afeng-x/pixwizard/imgproc.py ed9eb205e6768a44 ran MIT (permissive)
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation 31 Aug 2024 leaplabthu/adanat/datasets_uvit.py f057bf3471d77c43 ran no licence file found · pointer only
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization 13 Jun 2024 qihao067/DiMR/datasets.py f057bf3471d77c43 ran Apache-2.0 (permissive)
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis 8 Jun 2024 leaplabthu/improvednat/dataset.py f057bf3471d77c43 ran MIT (permissive)
Where's Waldo: Diffusion Features for Personalized Segmentation and Retrieval 28 May 2024 dvirsamuel/PDM/pdm_matching.py 5e61e838746ed0b4 ran no licence file found · pointer only
Where's Waldo: Diffusion Features for Personalized Segmentation and Retrieval 28 May 2024 dvirsamuel/PDM/pdm_permir.py 8e7cc9e449432e62 ran no licence file found · pointer only
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning 27 May 2024 divyam3897/i2m2/fastMRI/models/preactresnet_knee.py 0e748b3eca1dc04c ran MIT (permissive)
Simplifying Neural Network Training Under Class Imbalance 5 Dec 2023 ravidziv/SimplifyingImbalancedTraining/imbalanced/models/layers.py 9d5555c9ff725b7f ran fingerprinted no licence file found · pointer only
Find Your Optimal Assignments On-the-fly: A Holistic Framework for Clustered Federated Learning 9 Oct 2023 LINs-lab/HCFL/create_c/make_imagenet_c_inception.py 69eca8625ab6b1aa ran no licence file found · pointer only
arXiv:2309.10790 2023-09 (from id) csmile-1006/ARP/arp_dt/label_reward.py e10e152877684c24 ran MIT (permissive)
Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery 31 Aug 2023 YuyanZhou1/Improving-Lens-Flare-Removal/remove_flare.py 195f94de9d19fd91 ran no licence file found · pointer only
Video Diffusion Models with Local-Global Context Guidance 5 Jun 2023 exisas/LGC-VD/datasets/cityscapes_convert.py 7cec0870e9fb32a0 unverified MIT (permissive)
Training on Thin Air: Improve Image Classification with Generated Data 24 May 2023 yongchao97/diffusion_inversion/src/dataset.py 7be19549d8b0d6dc unverified MIT (permissive)
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels 21 Feb 2023 ML-GSAI/DPT/datasets.py f057bf3471d77c43 ran MIT (permissive)
InstructPix2Pix: Learning to Follow Image Editing Instructions 17 Nov 2022 xuduo35/InstructPix2Pix/stable_txt2img.py 81aae1af1d3e0807 unverified MIT (permissive)
Backdoor Attacks for Remote Sensing Data with Wavelet Transform 15 Nov 2022 ndraeger/waba/segmentation/models/networks.py 0be7b9d5432241aa unverified MIT (permissive)
On the detection of synthetic images generated by diffusion models 1 Nov 2022 grip-unina/dmimagedetection/test_code/normalization.py 6b872402efcb1483 unverified Apache-2.0 (permissive)
Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies 25 Sep 2022 mauriciogtec/weather2vec-reproduce/generate_simdata.py 19c4667852f744d0 ran · fixture could not drive it no licence file found · pointer only
GradMax: Growing Neural Networks using Gradient Information 13 Jan 2022 google-research/growneuron/growneuron/imagenet/data_util.py 93886821dd9582ad unverified Apache-2.0 (permissive)
OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform Inversion 4 Nov 2021 lanl/OpenFWI/transforms.py d8286f360f701d2e unverified BSD-3-Clause (permissive)
Taming Visually Guided Sound Generation 17 Oct 2021 v-iashin/video_features/models/transforms.py d8286f360f701d2e unverified MIT (permissive)
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation 13 Jul 2021 PierreMarza/teaching_agents_how_to_map/habitat/core/utils.py 51e5403cab9bef01 unverified MIT (permissive)
Representation Learning for Clustering via Building Consensus 4 May 2021 JayanthRR/ConCURL_NCE/lib/custom_transforms.py 693513ff2d202308 unverified MIT (permissive)
On Embodied Visual Navigation in Real Environments Through Habitat 26 Oct 2020 rosanom/habitat-domain-adaptation/habitat/core/utils.py 51e5403cab9bef01 unverified MIT (permissive)
Randomized Overdrive Neural Networks 8 Oct 2020 csteinmetz1/ronn/dev/ronn/utils.py f3db0665bb913e94 unverified Apache-2.0 (permissive)
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination 9 Aug 2020 frank-xwang/CLD-UnsupervisedLearning/lib/custom_transforms.py 693513ff2d202308 unverified MIT (permissive)
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning 16 Mar 2020 shiwj16/SSINet/net_parts/fcdensenet_parts.py 9d5555c9ff725b7f ran fingerprinted MIT (permissive)
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower 24 Aug 2019 gtolias/tma/utils.py b1968780f875e7f2 unverified MIT (permissive)
On the Evaluation of Conditional GANs 11 Jul 2019 facebookresearch/fjd/datasets/dSprite_textures/dsprite_utils.py 73243ef1bae6c55c unverified MIT recorded; this copy not marked cleared · pointer only
Detecting Photoshopped Faces by Scripting Photoshop 13 Jun 2019 PeterWang512/FALdetector/utils/tools.py c4019770f99361ad unverified Apache-2.0 (permissive)
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification 3 Apr 2019 zhunzhong07/ECN/reid/lib/custom_transforms.py 693513ff2d202308 unverified Apache-2.0 (permissive)
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses 1 Apr 2019 LiYingwei/Regional-Homogeneity/networks/network.py 2b20a071021efa7d unverified MIT (permissive)
A Simple Baseline for Bayesian Uncertainty in Deep Learning 7 Feb 2019 wjmaddox/swa_gaussian/swag/models/layers.py 9d5555c9ff725b7f ran fingerprinted BSD-2-Clause (permissive)
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions 4 Feb 2019 alexandrosstergiou/Saliency-Tubes-Visual-Explanations-for-Spatio-Temporal-Convolutions/heat_tubes_mfnet_pytorch.py 8cd5287185382195 unverified MIT (permissive)
Glow: Graph Lowering Compiler Techniques for Neural Networks 2018-05 (from id) pytorch/glow/torch_glow/utils/torchvision_fake/transforms.py da366058f867300e unverified Apache-2.0 (permissive)
CREPE: A Convolutional Representation for Pitch Estimation 17 Feb 2018 bpiyush/SoundOfWater/shared/utils/image.py d6fe3eeba94bee55 unverified MIT (permissive)
A Closer Look at Spatiotemporal Convolutions for Action Recognition 30 Nov 2017 leftthomas/r2plus1d-c3d/inference.py b09d9df7736daaa3 unverified no licence file found · pointer only
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation 28 Nov 2016 kskim-phd/mfcn/MFCN_SMC/code_MFCN/layers.py 9d5555c9ff725b7f ran fingerprinted MIT (permissive)
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation 28 Nov 2016 kskim-phd/mfcn/MFCN_SMC/code_MFCN/mydataset.py 2b32f51f5f7b51cc unverified MIT (permissive)
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning 6 Nov 2016 DartML/SteinGAN/lib/data_utils.py 4cf9776aa8ff3fbd unverified MIT (permissive)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network 16 Sep 2016 npielawski/pytorch_tiramisu/tiramisu/tiramisu.py fbf4fd83b502b493 unverified MIT (permissive)
Deeper Depth Prediction with Fully Convolutional Residual Networks 1 Jun 2016 mohsaad/Deeper-Depth-Prediction/pytorch/utils.py c75db035e81393da unverified MIT (permissive)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 Newmu/dcgan_code/lib/data_utils.py 4cf9776aa8ff3fbd unverified MIT (permissive)
arXiv:aaai_28565 zhangxulu1996/Compositional-Inversion/train_compositional_textual_inversion.py 81aae1af1d3e0807 unverified MIT (permissive)
arXiv:Sun_Pixel-level_Semantic_Correspondence_through_Layout-aware_Representation_Learning_and_Multi-scale_Matching_CVPR_2024_paper YXSUNMADMAX/LPMFlow/models/feature_backbones/misc.py 9d5555c9ff725b7f ran fingerprinted Apache-2.0 (permissive)
arXiv:Kim_WOUAF_Weight_Modulation_for_User_Attribution_and_Fingerprinting_in_Text-to-Image_CVPR_2024_paper kylemin/WOUAF/attack_methods/Crop.py e8824839986c0590 unverified Apache-2.0 (permissive)
arXiv:Hertz_Style_Aligned_Image_Generation_via_Shared_Attention_CVPR_2024_paper aim-uofa/StyleDrop-PyTorch/datasets.py f057bf3471d77c43 ran MIT (permissive)
arXiv:Barroso-Laguna_ScaleNet_A_Shallow_Architecture_for_Scale_Estimation_CVPR_2022_paper axelBarroso/ScaleNet/ScaleNet/general_modules.py 1ad9b9103350b0e4 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".

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