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deconv

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

deconv appears in the code Syntology harvested for 48 papers, as 29 distinct code bodies found in 50 places (a place is one code body under one paper). At least one of them ran in 31 of the papers; 2 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 deconv 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 13 of the 29 distinct code bodies named deconv; 16 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
8ran · our draft was wrong
0ran · fixture could not drive it
5ran
16unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 17 of the 50 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; 50 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 2 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
Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors added by Syntology 2026-03 (from id) UnoC-727/NeFIC/nefic/anchor_codec/layers/conv.py d7a1893b6b1fae5c unverified no licence file found · pointer only
MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding added by Syntology 2025-10 (from id) NYCU-MAPL/MHLVC/compressai/RIFE/IFNet.py 612249f14f261920 unverified no licence file found · pointer only
arXiv:2506.15201 2025-06 (from id) JiayinXu5499/PSIC/models/hy_cond.py 1afd37c576493fea ran · our draft was wrong MIT (permissive)
Linear Attention Modeling for Learned Image Compression 9 Feb 2025 sjtu-medialab/RwkvCompress/models/lalic.py 1afd37c576493fea ran · our draft was wrong MIT (permissive)
PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation 30 Nov 2024 pittisl/phyt2v/inference/gradio_composite_demo/rife/IFNet.py 48ae7f74e7480412 unverified no licence file found · pointer only
Causal Context Adjustment Loss for Learned Image Compression 7 Oct 2024 LabShuHangGU/CCA/models/aux_em.py 1afd37c576493fea ran · our draft was wrong MIT (permissive)
SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging 23 Jul 2024 ltkong218/SAFNet/models/SAFNet.py 1cea7934f596790b ran no licence file found · pointer only
Temporal Event Stereo via Joint Learning with Stereoscopic Flow 15 Jul 2024 mickeykang16/temporaleventstereo/models/model_large.py 5ab284f1473d2ba8 ran no licence file found · pointer only
VFIMamba: Video Frame Interpolation with State Space Models 2 Jul 2024 mcg-nju/vfimamba/model/refine.py 23f41c2655d6295a ran Apache-2.0 (permissive)
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression 28 Jul 2023 jiangweibeta/mlic/MLIC++/modules/layers/conv.py 1afd37c576493fea ran · our draft was wrong Apache-2.0 (permissive)
Topology-Aware Uncertainty for Image Segmentation 9 Jun 2023 iMED-Lab/CS-Net/model/csnet.py b528298ef3ced2c0 ran · our draft was wrong MIT (permissive)
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose 18 May 2023 Gorilla-Lab-SCUT/MAST/MAST/models/flownet.py 05aaa6b1fc1c8968 unverified MIT (permissive)
Video Frame Interpolation with Densely Queried Bilateral Correlation 26 Apr 2023 kinoud/DQBC/models/dqbc/flow_tea/IFNet.py 612249f14f261920 unverified MIT (permissive)
MDFlow: Unsupervised Optical Flow Learning by Reliable Mutual Knowledge Distillation 11 Nov 2022 identical code first harvested elsewhere dc4fb7628379691e ran · our draft was wrong licence of this copy not recorded
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments 17 Sep 2022 geniussh/dytanvo/Network/PWC/PWCNet.py dc4fb7628379691e ran · our draft was wrong BSD-3-Clause (permissive)
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding 21 Mar 2022 JiangWeibeta/ELIC/modules/layers/conv.py 1afd37c576493fea ran · our draft was wrong Apache-2.0 (permissive)
FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting 7 Sep 2021 ruiliu-ai/FuseFormer/model/fuseformer.py e73d218a85e7f736 ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform 21 Aug 2021 micmic123/qmapcompression/models/models.py 1afd37c576493fea ran · our draft was wrong no licence file found · pointer only
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation 15 Aug 2021 JunHeum/ABME/model/SBMNet.py 1cea7934f596790b ran MIT (permissive)
NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination 3 Jun 2021 google/nerfactor/nerfactor/networks/layers.py 2701f7ec7df9aaa0 unverified Apache-2.0 (permissive)
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss 12 Mar 2021 JuanLuisGonzalez/PLADE-net/models/FAL_net2B_gep2s.py 638d8821893f4404 ran fingerprinted GPL-3.0 (copyleft) · pointer only
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation 8 Mar 2021 identical code first harvested elsewhere dc4fb7628379691e ran · our draft was wrong licence of this copy not recorded
Binary TTC: A Temporal Geofence for Autonomous Navigation 12 Jan 2021 NVlabs/BiTTC/src/models/BiTTCNet.py 0332dcda39bb8220 ran · our draft was wrong licence not identified · pointer only
TartanVO: A Generalizable Learning-based VO 31 Oct 2020 castacks/tartanvo/Network/PWC/PWCNet.py dc4fb7628379691e ran · our draft was wrong BSD-3-Clause (permissive)
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network 16 Sep 2020 PruneTruong/GLU-Net/models/our_models/GLUNet.py e5cf22998f71a87e ran · our draft was wrong GPL-3.0 (copyleft) · pointer only
BOP Challenge 2020 on 6D Object Localization 15 Sep 2020 azad96/cosypose-custom/cosypose/models/flownet.py 05aaa6b1fc1c8968 unverified MIT (permissive)
BMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation 17 Jul 2020 JunHeum/BMBC/model/BMNet.py 1cea7934f596790b ran MIT (permissive)
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model 10 Jul 2020 iMED-Lab/OCTA-Net-OCTA-Vessel-Segmentation-Network/code/OCTA-Net/imed_models.py b528298ef3ced2c0 ran · our draft was wrong Apache-2.0 (permissive)
Towards Physics-informed Deep Learning for Turbulent Flow Prediction 20 Nov 2019 Rose-STL-Lab/Turbulent-Flow-Net/models/model.py 7532429cea03119b ran · our draft was wrong no licence file found · pointer only
Flow-Motion and Depth Network for Monocular Stereo and Beyond 12 Sep 2019 identical code first harvested elsewhere dc4fb7628379691e ran · our draft was wrong licence of this copy not recorded
Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM 26 Jul 2019 Kwanss/PCLNet/models/PCLNet.py e4efe7b05aaf1aff unverified MIT (permissive)
Flexible SVBRDF Capture with a Multi-Image Deep Network 2019-06 (from id) valentin-deschaintre/multi-image-deepNet-SVBRDF-acquisition/tfHelpers.py 0cb6d43ff89d5ab1 unverified MIT (permissive)
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy 4 Jun 2019 wileyw/DeepLearningDemos/CycleGANSolution/a4-code-v2-updated/models.py 9aeba2d3f55784ae unverified MIT (permissive)
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations 2 May 2019 taki0112/DRIT-Tensorflow/ops.py 6968524cd9833f53 unverified MIT (permissive)
Depth-Aware Video Frame Interpolation 1 Apr 2019 baowenbo/DAIN/PWCNet/PWCNet.py dc4fb7628379691e ran · our draft was wrong MIT (permissive)
Self-Supervised Learning via Conditional Motion Propagation 27 Mar 2019 XiaohangZhan/conditional-motion-propagation/models/modules/decoder.py dfb9a0605c0f4784 unverified MIT (permissive)
Path-Invariant Map Networks 31 Dec 2018 zaiweizhang/path_invariance_map_network/ops.py 8f90e1aa22b5dec8 unverified BSD-3-Clause (permissive)
Neighbourhood Consensus Networks 24 Oct 2018 JiwonCocoder/-Joint-Learning-of-Feature-Extraction-and-Cost-Aggregation-for-Semantic-Matching/lib/matching_model.py dc4fb7628379691e ran · our draft was wrong MIT (permissive)
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks 24 Oct 2018 stanford-iprl-lab/multimodal_representation/multimodal/models/base_models/layers.py 05aaa6b1fc1c8968 unverified MIT (permissive)
PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation 24 Jul 2018 identical code first harvested elsewhere dc4fb7628379691e ran · our draft was wrong licence of this copy not recorded
The relativistic discriminator: a key element missing from standard GAN 2 Jul 2018 taki0112/RelativisticGAN-Tensorflow/ops.py 4700cd22b8033044 unverified MIT (permissive)
Progressive Growing of GANs for Improved Quality, Stability, and Variation 27 Oct 2017 claushofmann/GAN-game-art/progressive_gan.py fbcbe989dbb6f48f ran · our draft was wrong no licence file found · pointer only
Progressive Growing of GANs for Improved Quality, Stability, and Variation 27 Oct 2017 nashory/pggan-pytorch/network.py 69c226eb82fee692 unverified MIT (permissive)
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume 7 Sep 2017 yanqi1811/PWC-Net/PyTorch/models/PWCNet.py dc4fb7628379691e ran · our draft was wrong licence not identified · pointer only
Semi-Supervised Learning with Generative Adversarial Networks 5 Jun 2016 yunjey/mnist-svhn-transfer/model.py 295a50c6d7938efd ran · our draft was wrong MIT (permissive)
Perceptual Losses for Real-Time Style Transfer and Super-Resolution 27 Mar 2016 ZyoungXu/MoSt-DSA/model/refine.py 23f41c2655d6295a ran Apache-2.0 (permissive)
Perceptual Losses for Real-Time Style Transfer and Super-Resolution 27 Mar 2016 thatbrguy/Dehaze-GAN/legacy/utils.py 288caa152d503142 unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 tanyanair/segmentation_uncertainty/bunet/models/bunet.py e7bac554c43cd07c unverified MIT (permissive)
arXiv:Sun_Pixel-level_Semantic_Correspondence_through_Layout-aware_Representation_Learning_and_Multi-scale_Matching_CVPR_2024_paper YXSUNMADMAX/LPMFlow/models/mod.py dc4fb7628379691e ran · our draft was wrong Apache-2.0 (permissive)
arXiv:136760331 chang9711/BIPS/KCVS/TA_session/custom_layers.py e36c519cb822774d 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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