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get_scale_table

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

get_scale_table appears in the code Syntology harvested for 21 papers, as 9 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 17 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_scale_table 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 5 of the 9 distinct code bodies named get_scale_table; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

5ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
4unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 22 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

21 papers shown of 21, newest first; 22 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; 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/model.py e747ce86458f2f2d unverified no licence file found · pointer only
arXiv:2506.15201 2025-06 (from id) JiayinXu5499/PSIC/models/hy_cond.py 5a67fac6d8fa50f5 unverified MIT (permissive)
On Disentangled Training for Nonlinear Transform in Learned Image Compression 23 Jan 2025 qingshi9974/auxt/models/tcm.py 1eca81f63e28f103 ran · honoured contract MIT (permissive)
Towards Loss-Resilient Image Coding for Unstable Satellite Networks 20 Jan 2025 NJUVISION/LossResilientLIC/models/base.py ea91ec834daeda3a ran · honoured contract BSD-3-Clause (permissive)
Causal Context Adjustment Loss for Learned Image Compression 7 Oct 2024 LabShuHangGU/CCA/models/vae.py 1eca81f63e28f103 ran · honoured contract MIT (permissive)
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation 29 Sep 2024 njuvision/mpa/compressai/models/mpa.py feb29b32fc1ec50e ran · honoured contract licence not identified · pointer only
MambaVC: Learned Visual Compression with Selective State Spaces 24 May 2024 qinsy123/2024-mambavc/models/MambaVC.py 1eca81f63e28f103 ran · honoured contract no licence file found · pointer only
Region-Adaptive Transform with Segmentation Prior for Image Compression 1 Mar 2024 GityuxiLiu/Region-Adaptive-Transform-with-Segmentation-Prior-for-Image-Compression/SegPIC-main/compressai/models/sac.py feb29b32fc1ec50e ran · honoured contract no licence file found · pointer only
TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception 8 Jun 2023 NYCU-MAPL/TransTIC/compressai/models/tic_promptmodel.py 0655c193d6ef7868 ran · honoured contract Apache-2.0 (permissive)
Learned Image Compression with Mixed Transformer-CNN Architectures 27 Mar 2023 jmliu206/lic_tcm/models/tcm.py 1eca81f63e28f103 ran · honoured contract MIT (permissive)
High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation 25 Apr 2022 lumingzzz/tinylic/compressai/models/tinylic.py feb29b32fc1ec50e ran · honoured contract Apache-2.0 (permissive)
The Devil Is in the Details: Window-based Attention for Image Compression 16 Mar 2022 googolxx/stf/compressai/models/cnn.py feb29b32fc1ec50e ran · honoured contract Apache-2.0 (permissive)
The Devil Is in the Details: Window-based Attention for Image Compression 16 Mar 2022 googolxx/stf/compressai/models/stf.py 1eca81f63e28f103 ran · honoured contract Apache-2.0 (permissive)
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform 21 Aug 2021 micmic123/qmapcompression/models/models.py d1e39fa98bee2cb7 ran · honoured contract no licence file found · pointer only
Enhanced Invertible Encoding for Learned Image Compression 8 Aug 2021 xyq7/invcompress/codes/compressai/models/priors.py feb29b32fc1ec50e ran · honoured contract Apache-2.0 (permissive)
Lossy Compression for Lossless Prediction 21 Jun 2021 YannDubs/lossyless/lossyless/rates.py 052ae753efea2e31 unverified MIT (permissive)
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation 12 Nov 2020 xinjie-q/distributed-dvc/models/dvc_model.py 1eca81f63e28f103 ran · honoured contract no licence file found · pointer only
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research 5 Nov 2020 identical code first harvested elsewhere 1eca81f63e28f103 ran · honoured contract licence of this copy not recorded
Denoising Diffusion Implicit Models 6 Oct 2020 dan8991/Image-coding-perceptual-enhancement-with-diffusion-models/improved_diffusion/unet.py 539ad5765db599ac unverified MIT (permissive)
Variational image compression with a scale hyperprior 1 Feb 2018 InterDigitalInc/CompressAI/compressai/models/base.py ea91ec834daeda3a ran · honoured contract BSD-3-Clause-Clear · pointer only
arXiv:aaai_19890 caolinfeng/OoDHDR-codec/compressai/models/google.py feb29b32fc1ec50e ran · honoured contract Apache-2.0 (permissive)
arXiv:Deng_Deep_Homography_for_Efficient_Stereo_Image_Compression_CVPR_2021_paper ywz978020607/HESIC/compressai/models/priors.py feb29b32fc1ec50e ran · honoured contract 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".

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