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gradient_penalty_loss

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

gradient_penalty_loss appears in the code Syntology harvested for 20 papers, as 3 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 0 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 gradient_penalty_loss 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 0 of the 3 distinct code bodies named gradient_penalty_loss; 3 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
0ran · fixture could not drive it
0ran
3unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 20 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

20 papers shown of 20, newest first; 20 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
MedVSR: Medical Video Super-Resolution with Cross State-Space Propagation added by Syntology 2025-09 (from id) CUHK-AIM-Group/MedVSR/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 unverified no licence file found · pointer only
Visual Autoregressive Modeling for Image Super-Resolution 31 Jan 2025 qyp2000/varsr/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 unverified MIT (permissive)
MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution 26 Nov 2024 stella-von/MAT/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 unverified MIT (permissive)
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation 24 Oct 2024 shallowdream204/dreamclear/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 unverified Apache-2.0 (permissive)
EvTexture: Event-driven Texture Enhancement for Video Super-Resolution 19 Jun 2024 DachunKai/EvTexture/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 unverified Apache-2.0 (permissive)
Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring 11 Jun 2024 huicongzhang/bsstnet/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 unverified no licence file found · pointer only
Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution 17 Apr 2024 mandalinadagi/wavelettention/wavelettention/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 unverified Apache-2.0 (permissive)
Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss 2 Apr 2024 JaehaKim97/SR4IR/src/losses/gan.py 81eb425a41a7c2a1 unverified no licence file found · pointer only
Ship in Sight: Diffusion Models for Ship-Image Super Resolution 27 Mar 2024 luigisigillo/shipinsight/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 unverified no licence file found · pointer only
Activating Wider Areas in Image Super-Resolution 13 Mar 2024 arsenalcheng/mma/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 unverified Apache-2.0 (permissive)
Efficient Image Deblurring Networks based on Diffusion Models 11 Jan 2024 bnm6900030/swintormer/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 unverified no licence file found · pointer only
Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy 7 Jan 2024 xiangtaokong/mioir/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 unverified no licence file found · pointer only
Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model 7 Aug 2023 srameo/led/led/losses/gan_loss.py 81eb425a41a7c2a1 unverified no licence file found · pointer only
Exploiting Diffusion Prior for Real-World Image Super-Resolution 11 May 2023 naagar/art_restoration_dm/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 unverified MIT (permissive)
Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer 31 Mar 2023 shallowdream204/SODA-SR/models/loss.py 370bd3c6bf3bd496 unverified Apache-2.0 (permissive)
AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing 27 Jul 2022 eth-siplab/avatarposer/models/loss.py 370bd3c6bf3bd496 unverified MIT (permissive)
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks 14 Mar 2019 denizalperacar/MSG-GAN/src/loss.py 4901d39068cad530 unverified MIT (permissive)
arXiv:aaai_32582 Hankitle/PEIE/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 unverified Apache-2.0 (permissive)
arXiv:aaai_28354 W-JG/BPOSR/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 unverified MIT (permissive)
arXiv:Zheng_Efficient_Video_Super-Resolution_for_Real-time_Rendering_with_Decoupled_G-buffer_Guidance_CVPR_2025_paper sunny2109/RDG/basicsr/losses/gan_loss.py 81eb425a41a7c2a1 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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