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init_net

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

init_net appears in the code Syntology harvested for 47 papers, as 31 distinct code bodies found in 49 places (a place is one code body under one paper). At least one of them ran in 30 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 init_net 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 16 of the 31 distinct code bodies named init_net; 15 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
10ran · our draft was wrong
0ran · fixture could not drive it
6ran
15unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 15 of the 49 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

47 papers shown of 47, newest first; 49 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 1 papers added by Syntology; 2 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
Cross-Domain Object Detection Using Unsupervised Image Translation added by Syntology 2026-01 (from id) junyanz/pytorch-CycleGAN-and-pix2pix/models/networks.py 534e53db3492745e unverified licence not identified · pointer only
Diffusion models under low-noise regime 9 Jun 2025 lizardp1/diffusion_low_noise_regime/train/code/score_based_image/pix2pix.py bf329cef80ee24c5 ran · our draft was wrong MIT (permissive)
Parametric model reduction of mean-field and stochastic systems via higher-order action matching 15 Oct 2024 julesberman/hoam/hoam/utils.py 23a6b6263cb53594 ran no licence file found · pointer only
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile 8 Mar 2024 ykykyk112/STIG/model/stig_model.py 761ab5993058b5ed ran · our draft was wrong no licence file found · pointer only
Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction 29 Feb 2024 kcyt/FSS/lib/model/HGPIFuNetwNML.py c2ecd27700f33efe ran · our draft was wrong no licence file found · pointer only
Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes 3 Oct 2023 cszhilu1998/SelfHDR/models/networks.py fb4ba96e87f4ae40 ran licence not identified · pointer only
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects 6 Aug 2023 ChunmingHe/Camouflageator/unet/networks.py 3a98c161a8ec31cd ran no licence file found · pointer only
Deep Image Harmonization with Learnable Augmentation 1 Aug 2023 bcmi/syconet-adaptive-image-harmonization/models/modules.py 175c2a859aa53533 ran no licence file found · pointer only
Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression Recognition 21 Jul 2023 leeisack/latent-ofer/hybrid_recon/models/networks.py 5a2166bc64a34f5c ran MIT (permissive)
Benchmarking Algorithms for Federated Domain Generalization 11 Jul 2023 inouye-lab/feddg_benchmark/src/utils.py 0183a250efb28437 ran no licence file found · pointer only
The Audio-Visual BatVision Dataset for Research on Sight and Sound 2023-03 (from id) amandinebtto/batvision-dataset/UNetSoundOnly/models/unetbaseline_model.py bf329cef80ee24c5 ran · our draft was wrong CC-BY-SA-4.0 (copyleft) · pointer only
Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution 10 Dec 2022 hitrainer/eavsr/models/networks.py 1b0f2564281c40e3 unverified MIT (permissive)
Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning 19 May 2022 zyxelsa/cast_pytorch/models/cast_model.py bf329cef80ee24c5 ran · our draft was wrong Apache-2.0 (permissive)
Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation 28 Apr 2022 heyblackC/DFMIR/models/networks.py 01d1ccc6bbadcbdc ran · our draft was wrong no licence file found · pointer only
Learning to generate line drawings that convey geometry and semantics 23 Mar 2022 carolineec/informative-drawings/networks.py 10fdae626d954364 ran · our draft was wrong MIT (permissive)
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection 1 Mar 2022 zhangzjn/ocr-gan/lib/models/networks.py 26c1a0c85ed550cc unverified MIT (permissive)
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond 21 Feb 2022 tamer-saleh/s1gflood-detection/networks.py 2009bbd28575495d unverified CC0-1.0 (permissive)
Domain Adaptation on Point Clouds via Geometry-Aware Implicits 17 Dec 2021 jhonve/implicitpcda/models/networks.py 01d1ccc6bbadcbdc ran · our draft was wrong MIT (permissive)
Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial Attack 6 Oct 2021 jimmy-academia/lasgsa/src/networks.py 8dae8fea47c19e0f ran · our draft was wrong MIT (permissive)
Multi-Anchor Active Domain Adaptation for Semantic Segmentation 18 Aug 2021 munanning/madav2/models/networks.py bf329cef80ee24c5 ran · our draft was wrong MIT (permissive)
Transporting Causal Mechanisms for Unsupervised Domain Adaptation 23 Jul 2021 yue-zhongqi/tcm/dda_model/dda_model.py 00412bee7f16f8c4 ran · our draft was wrong no licence file found · pointer only
The Spatially-Correlative Loss for Various Image Translation Tasks 2 Apr 2021 lyndonzheng/F-LSeSim/models/losses.py c4df9e20fb740486 ran · our draft was wrong MIT (permissive)
The Spatially-Correlative Loss for Various Image Translation Tasks 2 Apr 2021 kaminyou/urust/models/lsesim_loss.py eb1d6ffba8881897 ran · our draft was wrong MIT (permissive)
Event-based Synthetic Aperture Imaging with a Hybrid Network 3 Mar 2021 dvs-whu/E-SAI/codes/Networks/Hybrid.py 8dae8fea47c19e0f ran · our draft was wrong MIT (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 sak-h/pytorch-Denoising-Diffusion-Probabilistic-Models/models/ddpm.py 4fd186d8450dbcbf ran · our draft was wrong no licence file found · pointer only
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data 29 May 2020 tommy-qichang/AsynDGAN/models/networks.py bf329cef80ee24c5 ran · our draft was wrong BSD-2-Clause (permissive)
Instance-aware Image Colorization 21 May 2020 ericsujw/InstColorization/models/networks.py 1fb6ac5fa9cfcbec unverified MIT (permissive)
Fast is better than free: Revisiting adversarial training 12 Jan 2020 aliborji/Shapedefence/pix2pix-pytorch/networks.py debf7fa6a54c7259 unverified MIT (permissive)
DoveNet: Deep Image Harmonization via Domain Verification 27 Nov 2019 bcmi/Image_Harmonization_Datasets/DoveNet/models/networks.py bf329cef80ee24c5 ran · our draft was wrong MIT (permissive)
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation 29 Oct 2019 RogerZhangzz/CAG_UDA/models/networks.py bf329cef80ee24c5 ran · our draft was wrong MIT (permissive)
PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models 15 Oct 2019 IGLICT/PRS-Net/models/network.py 52d67388611d4944 unverified MIT (permissive)
Unsupervised Sketch-to-Photo Synthesis 18 Sep 2019 samaonline/3D-Shape-Reconstruction-from-Free-Hand-Sketches/sketchstd/models/networks.py bf329cef80ee24c5 ran · our draft was wrong BSD-3-Clause (permissive)
Positional Normalization 9 Jul 2019 Boyiliee/PONO/pytorch-CycleGAN-and-pix2pix-with-PONO/networks_pono.py 61b04019af0dc257 unverified MIT (permissive)
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation 25 May 2019 jsll/pytorch_6dof-graspnet/models/networks.py f680d42017f685f7 unverified MIT recorded; this copy not marked cleared · pointer only
Bidirectional Learning for Domain Adaptation of Semantic Segmentation 24 Apr 2019 liyunsheng13/BDL/cyclegan/networks.py 10fdae626d954364 ran · our draft was wrong MIT (permissive)
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection 25 Jan 2019 samet-akcay/skip-ganomaly/lib/models/networks.py 26c1a0c85ed550cc unverified MIT (permissive)
Transferable Adversarial Attacks for Image and Video Object Detection 30 Nov 2018 LiangSiyuan21/Adversarial-Attacks-for-Image-and-Video-Object-Detection/img_attack_with_attention/model/GAN.py 10fdae626d954364 ran · our draft was wrong no licence file found · pointer only
Image Inpainting via Generative Multi-column Convolutional Neural Networks 20 Oct 2018 shepnerd/inpainting_gmcnn/pytorch/model/layer.py 8f8e91beb67bca00 unverified MIT (permissive)
GANimation: Anatomically-aware Facial Animation from a Single Image 24 Jul 2018 donydchen/ganimation_replicate/model/model_utils.py 10fdae626d954364 ran · our draft was wrong MIT (permissive)
Image Inpainting for Irregular Holes Using Partial Convolutions 20 Apr 2018 cameltr/rgtsi/models/networks.py 64cdaca975e8a365 unverified Apache-2.0 (permissive)
DeSIGN: Design Inspiration from Generative Networks 3 Apr 2018 blufzzz/Design-Inspiration-from-Generative-Networks/networks.py debf7fa6a54c7259 unverified MIT (permissive)
Image-to-Image Translation with Conditional Adversarial Networks 21 Nov 2016 acecreamu/angularGAN/angulargan/models/networks.py 10fdae626d954364 ran · our draft was wrong MIT (permissive)
Image-to-Image Translation with Conditional Adversarial Networks 21 Nov 2016 Mingtzge/2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement/pytorch-CycleGAN-and-pix2pix/models/networks.py bf329cef80ee24c5 ran · our draft was wrong MIT (permissive)
Communication-Efficient Learning of Deep Networks from Decentralized Data 17 Feb 2016 nadavlab/federatedbehrt/src/utils.py 6e22953f199abc82 unverified Apache-2.0 (permissive)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 identical code first harvested elsewhere bf329cef80ee24c5 ran · our draft was wrong licence of this copy not recorded
Learning Face Representation from Scratch 28 Nov 2014 laoreja/face-identity-transformer/models/networks.py f7732723cd5061d7 unverified Apache-2.0 (permissive)
Generative Adversarial Networks 10 Jun 2014 WANG-Chaoyue/EvolutionaryGAN-pytorch/models/networks.py bf329cef80ee24c5 ran · our draft was wrong MIT (permissive)
arXiv:Park_LANIT_Language-Driven_Image-to-Image_Translation_for_Unlabeled_Data_CVPR_2023_paper KU-CVLAB/LANIT/core/model.py fd7db27b81772ecc unverified MIT (permissive)
arXiv:136770443 cv-rits/ManiFest/networks/backbones/functions.py d12d1b24e9b01b50 unverified Apache-2.0 (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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