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center_crop_arr

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

center_crop_arr appears in the code Syntology harvested for 79 papers, as 12 distinct code bodies found in 79 places (a place is one code body under one paper). At least one of them ran in 65 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 center_crop_arr 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 12 distinct code bodies named center_crop_arr; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
3ran
6unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 26 of the 79 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

79 papers shown of 79, newest first; 79 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 5 papers added by Syntology; 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
Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? added by Syntology 2026-06 (from id) jachansantiago/mode_guidance/finetune_dit.py 1712a07966b542ee ran · our draft was wrong no licence file found · pointer only
JLT: Clean-Latent Prediction in Latent Diffusion Transformers added by Syntology 2026-05 (from id) akatsuki-neo/JLT/util/crop.py 1712a07966b542ee ran · our draft was wrong MIT (permissive)
RemEdit: Efficient Diffusion Editing with Riemannian Geometry added by Syntology 2026-01 (from id) eashanadhikarla/RemEdit/src/datasets/IMAGENET_dataset.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
Label-Efficient Hyperspectral Image Classification via Spectral FiLM Modulation of Low-Level Pretrained Diffusion Features added by Syntology 2025-12 (from id) openai/guided-diffusion/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
Enhancing Diffusion Model Guidance through Calibration and Regularization added by Syntology 2025-11 (from id) ajavid34/guided-info-diffusion/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong no licence file found · pointer only
Flow-Anchored Consistency Models 4 Jul 2025 ali-vilab/FACM/ldit/autoencoder.py 1712a07966b542ee ran · our draft was wrong Apache-2.0 (permissive)
D-AR: Diffusion via Autoregressive Models 29 May 2025 showlab/d-ar/dataset/augmentation.py 1712a07966b542ee ran · our draft was wrong MIT (permissive)
Unified Continuous Generative Models 12 May 2025 LINs-Lab/UCGM/autoencs/autoencoder.py 1712a07966b542ee ran · our draft was wrong Apache-2.0 (permissive)
Diffusion Transformers for Tabular Data Time Series Generation 10 Apr 2025 ML-GSAI/Scaling-Diffusion-Transformers-muP/DiT/train_mup.py ea73360d2d5d9224 ran · our draft was wrong MIT (permissive)
Lumina-Image 2.0: A Unified and Efficient Image Generative Framework 27 Mar 2025 Alpha-VLLM/Lumina-Image-2.0/imgproc.py ea73360d2d5d9224 ran · our draft was wrong Apache-2.0 (permissive)
Autoregressive Image Generation with Randomized Parallel Decoding 13 Mar 2025 hp-l33/ARPG/dataset/augmentation.py 1712a07966b542ee ran · our draft was wrong MIT (permissive)
LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization 11 Mar 2025 xianfengwu01/lightgen/util/crop.py 1712a07966b542ee ran · our draft was wrong MIT (permissive)
FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction 27 Feb 2025 jiaosiyu1999/FlexVAR/dataset/augmentation.py 1712a07966b542ee ran · our draft was wrong MIT (permissive)
Fractal Generative Models 24 Feb 2025 LTH14/fractalgen/util/crop.py 1712a07966b542ee ran · our draft was wrong MIT (permissive)
Improved Diffusion-based Generative Model with Better Adversarial Robustness 24 Feb 2025 kugwzk/AT_Diff/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
Improved Training Technique for Latent Consistency Models 3 Feb 2025 identical code first harvested elsewhere 1712a07966b542ee ran · our draft was wrong licence of this copy not recorded
ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer 10 Dec 2024 thunlp/acdit/transform_utils.py 1712a07966b542ee ran · our draft was wrong MIT (permissive)
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising 7 Dec 2024 vainf/remix-dit/extract_features.py 1712a07966b542ee ran · our draft was wrong no licence file found · pointer only
ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality 5 Dec 2024 ThisisBillhe/ZipAR/LlamaGen-ZipAR/dataset/augmentation.py 1712a07966b542ee ran · our draft was wrong no licence file found · pointer only
TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation 4 Dec 2024 ByteFlow-AI/TokenFlow/tokenflow/dataset/augmentation.py 1712a07966b542ee ran · our draft was wrong Apache-2.0 (permissive)
TinyFusion: Diffusion Transformers Learned Shallow 2 Dec 2024 vainf/tinyfusion/prune_by_score.py 1712a07966b542ee ran · our draft was wrong no licence file found · pointer only
UrbanDiT: A Foundation Model for Open-World Urban Spatio-Temporal Learning 19 Nov 2024 tsinghua-fib-lab/UrbanDiT/src/train_one_step.py 1712a07966b542ee ran · our draft was wrong MIT (permissive)
Continuous Speculative Decoding for Autoregressive Image Generation 18 Nov 2024 markxcloud/cspd/util/crop.py 1712a07966b542ee ran · our draft was wrong MIT (permissive)
Physics Informed Distillation for Diffusion Models 13 Nov 2024 pantheon5100/pid_diffusion/cm/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis 11 Nov 2024 leaplabthu/enat/dataset.py f8b4a29a52612a41 unverified no licence file found · pointer only
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching 31 Oct 2024 identical code first harvested elsewhere 1712a07966b542ee ran · our draft was wrong licence of this copy not recorded
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities 18 Oct 2024 haoosz/BiGR/apps/enrich.py ea73360d2d5d9224 ran · our draft was wrong MIT (permissive)
Think While You Generate: Discrete Diffusion with Planned Denoising 8 Oct 2024 liusulin/DDPD/imagenet/train_planner.py 1712a07966b542ee ran · our draft was wrong MIT (permissive)
MonoFormer: One Transformer for Both Diffusion and Autoregression 24 Sep 2024 MonoFormer/MonoFormer/imgproc.py 27c5a16fa884fb87 ran 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 ea73360d2d5d9224 ran · our draft was wrong MIT (permissive)
OmniGen: Unified Image Generation 17 Sep 2024 vectorspacelab/omnigen/OmniGen/utils.py ea73360d2d5d9224 ran · our draft was wrong MIT (permissive)
Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models 16 Sep 2024 yuchuantian/u-dit/train_accelerate.py 1712a07966b542ee ran · our draft was wrong no licence file found · pointer only
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation 31 Aug 2024 leaplabthu/adanat/datasets_uvit.py f8b4a29a52612a41 unverified no licence file found · pointer only
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models 12 Aug 2024 identical code first harvested elsewhere 1712a07966b542ee ran · our draft was wrong licence of this copy not recorded
Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators 11 Aug 2024 leaplabthu/attention-mediators/attention_mediator/train_256to512.py 95bcfe1a68b3578c ran no licence file found · pointer only
Inverse Problems with Diffusion Models: A MAP Estimation Perspective 27 Jul 2024 guthasaibharathchandra/MAP-GA/cm/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong no licence file found · pointer only
Scaling Diffusion Transformers to 16 Billion Parameters 16 Jul 2024 feizc/dit-moe/train_deepspeed.py 1712a07966b542ee ran · our draft was wrong no licence file found · pointer only
Self-Guided Generation of Minority Samples Using Diffusion Models 16 Jul 2024 soobin-um/sg-minority/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization 13 Jun 2024 qihao067/DiMR/datasets.py f8b4a29a52612a41 unverified Apache-2.0 (permissive)
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation 10 Jun 2024 foundationvision/llamagen/dataset/augmentation.py 1712a07966b542ee ran · our draft was wrong MIT (permissive)
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis 8 Jun 2024 leaplabthu/improvednat/dataset.py f8b4a29a52612a41 unverified MIT (permissive)
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching 3 Jun 2024 identical code first harvested elsewhere 1712a07966b542ee ran · our draft was wrong licence of this copy not recorded
OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving 30 May 2024 identical code first harvested elsewhere 1712a07966b542ee ran · our draft was wrong licence of this copy not recorded
Fast Samplers for Inverse Problems in Iterative Refinement Models 27 May 2024 NVlabs/RED-diff/datasets/imagenet.py d96f46caebdb91c0 ran licence not identified · pointer only
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training 27 May 2024 1zeryu/speed/speed/dataset/transform.py 1712a07966b542ee ran · our draft was wrong Apache-2.0 (permissive)
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models 27 May 2024 yuanzhi-zhu/DiffPIR/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
Bidirectional Consistency Models 26 Mar 2024 Mosasaur5526/BCM-iCT-torch/BCM/scripts/image_sample.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance 26 Mar 2024 KU-CVLAB/Perturbed-Attention-Guidance/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
ZigMa: A DiT-style Zigzag Mamba Diffusion Model 20 Mar 2024 CompVis/zigma/datasets/video_utils.py 1712a07966b542ee ran · our draft was wrong Apache-2.0 (permissive)
A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data 26 Feb 2024 pcsl-epfl/forward-backward-diffusion/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
DiffiT: Diffusion Vision Transformers for Image Generation 4 Dec 2023 nvlabs/diffit/diffit/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong no licence file found · pointer only
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? 30 Nov 2023 zhengyuezhao/gridpure/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
Do text-free diffusion models learn discriminative visual representations? 29 Nov 2023 soumik-kanad/diffssl/guided_diffusion/image_datasets.py f8b4a29a52612a41 unverified MIT (permissive)
Efficient Dataset Distillation via Minimax Diffusion 27 Nov 2023 identical code first harvested elsewhere 1712a07966b542ee ran · our draft was wrong licence of this copy not recorded
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs 14 Nov 2023 identical code first harvested elsewhere 1712a07966b542ee ran · our draft was wrong licence of this copy not recorded
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models 15 Aug 2023 cure-lab/DiffGuard/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong no licence file found · pointer only
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry 24 Jul 2023 enkeejunior1/Diffusion-Pullback/src/models/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong Apache-2.0 (permissive)
Generative Semantic Communication: Diffusion Models Beyond Bit Recovery 7 Jun 2023 ispamm/gesco/guided_diffusion/image_datasets.py bb374811b1630c4c unverified MIT (permissive)
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models 5 Jun 2023 muhamadusman/assist/DiffusionModel/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
Image generation with shortest path diffusion 1 Jun 2023 mtkresearch/shortest-path-diffusion/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong Apache-2.0 (permissive)
Denoising Diffusion Models for Plug-and-Play Image Restoration 15 May 2023 yuanzhi-zhu/diffpir/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning 25 Apr 2023 thu-ml/cep-energy-guided-diffusion/images/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
Consistency Models 2 Mar 2023 openai/consistency_models/cm/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels 21 Feb 2023 ML-GSAI/DPT/datasets.py f8b4a29a52612a41 unverified MIT (permissive)
Scalable Diffusion Models with Transformers 19 Dec 2022 identical code first harvested elsewhere 1712a07966b542ee ran · our draft was wrong licence of this copy not recorded
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models 28 Nov 2022 identical code first harvested elsewhere 1712a07966b542ee ran · our draft was wrong licence of this copy not recorded
SinDiffusion: Learning a Diffusion Model from a Single Natural Image 22 Nov 2022 weilunwang/sindiffusion/guided_diffusion/image_datasets.py 0b370d8cdcf5c1b9 unverified Apache-2.0 (permissive)
Diffusion Models already have a Semantic Latent Space 20 Oct 2022 kwonminki/Asyrp_official/datasets/IMAGENET_dataset.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance 3 Oct 2022 KU-CVLAB/Self-Attention-Guidance/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT recorded; this copy not marked cleared · pointer only
Semantic Image Synthesis via Diffusion Models 30 Jun 2022 marinadominguez/diffusion-for-us-images/semantic_diffusion_model/guided_diffusion/image_datasets.py f2f282fccca577a4 unverified MIT (permissive)
(Certified!!) Adversarial Robustness for Free! 21 Jun 2022 ethz-privsec/diffusion_denoised_smoothing/imagenet/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
Accelerating Diffusion Models via Early Stop of the Diffusion Process 25 May 2022 zhaoyanglyu/early_stopped_ddpm/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT recorded; this copy not marked cleared · pointer only
Diffusion Models for Counterfactual Explanations 29 Mar 2022 guillaumejs2403/DiME/core/image_datasets.py f8b4a29a52612a41 unverified MIT (permissive)
Diffusion Models for Medical Anomaly Detection 8 Mar 2022 JuliaWolleb/diffusion-anomaly/guided_diffusion/image_datasets.py 86181c648bfa8a4b unverified MIT (permissive)
Blended Diffusion for Text-driven Editing of Natural Images 29 Nov 2021 omriav/blended-diffusion/guided_diffusion/guided_diffusion/image_datasets.py 8ab9a97df8161f31 ran · our draft was wrong MIT (permissive)
Few-shot Image Generation with Mixup-based Distance Learning 23 Nov 2021 rowerliu/adbd/guided_diffusion/image_datasets.py f8b4a29a52612a41 unverified MIT (permissive)
arXiv:Xiao_OmniGen_Unified_Image_Generation_CVPR_2025_paper VectorSpaceLab/OmniGen/OmniGen/utils.py ea73360d2d5d9224 ran · our draft was wrong MIT (permissive)
arXiv:Li_WF-VAE_Enhancing_Video_VAE_by_Wavelet-Driven_Energy_Flow_for_Latent_CVPR_2025_paper PKU-YuanGroup/WF-VAE/causalvideovae/dataset/transform.py 235657e8b7d6b0c4 unverified Apache-2.0 (permissive)
arXiv:Hertz_Style_Aligned_Image_Generation_via_Shared_Attention_CVPR_2024_paper aim-uofa/StyleDrop-PyTorch/datasets.py f8b4a29a52612a41 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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