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compute_psnr

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

compute_psnr appears in the code Syntology harvested for 30 papers, as 22 distinct code bodies found in 31 places (a place is one code body under one paper). At least one of them ran in 20 of the papers; 6 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 compute_psnr 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 22 distinct code bodies named compute_psnr; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
1ran · fixture could not drive it
10ran
9unverified
6fingerprinted

Licence is a property of each copy, so it is counted per place: 14 of the 31 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

30 papers shown of 30, newest first; 31 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 6 papers added by Syntology; 1 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
Newton Deep Unfolding for Compressed Sensing added by Syntology 2026-09 (from id) xianchaoxiu/DNU-Net/NDU-Net/utils/metrics.py 53d4b09a9a165c02 unverified no licence file found · pointer only
Tokenizer-Generator Coupling in Medical Image Generation added by Syntology 2026-08 (from id) liamchalcroft/medtokenizers/src/medtokenizers/evaluation/metrics.py b6ddbbeb8cebe8e7 ran MIT (permissive)
Flow Map Denoisers: Traversing the Distortion-Perception Plane for Inverse Problems added by Syntology 2026-06 (from id) nzilberstein/Flow-map-denoisers/run_baselines.py dbcbcd124896817f ran no licence file found · pointer only
Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration added by Syntology 2026-05 (from id) ai-spatial/GeoSR-Bench/MODIS_L8/SR_Models/CFAT_M2L8/utils.py d047f536a3e39a24 ran fingerprinted no licence file found · pointer only
Information-Theoretic Optimization for Task-Adapted Compressed Sensing Magnetic Resonance Imaging added by Syntology 2026-04 (from id) tianweiy/SeqMRI/activemri/envs/util.py 818735d3069334bf unverified MIT (permissive)
Flux4D: Flow-based Unsupervised 4D Reconstruction added by Syntology 2025-12 (from id) NVlabs/EmerNeRF/datasets/metrics.py 37e6686ebde165ef unverified licence not identified · pointer only
MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models 21 May 2025 CUHK-AIM-Group/MonoSplat/src/evaluation/metrics.py e8002dbf9ab64adc ran MIT (permissive)
SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems 6 Oct 2024 sjames40/SITCOM/SITCOM.py cad1ea0350865a64 unverified no licence file found · pointer only
SWIFT: Semantic Watermarking for Image Forgery Thwarting 26 Jul 2024 gautierevn/swift_watermarking/watermark_dir.py ff3ac1e9548cab73 ran · honoured contract fingerprinted licence not identified · pointer only
WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving 11 Jul 2024 wayveai/wayve_scenes/src/wayve_scenes/utils/metrics.py af2f8d3d5e9992b2 ran MIT (permissive)
OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos 8 Jul 2024 vlar-group/osn/evaluate.py abdf605d26ba0b32 ran · fixture could not drive it fingerprinted licence not identified · pointer only
AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring 13 Jun 2024 INVOKERer/AdaRevD/Motion_Deblurring/evaluate_gopro.py 0564c7d12ea86b30 ran fingerprinted licence not identified · pointer only
AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring 13 Jun 2024 invokerer/deeprft/evaluate_RealBlur.py 91fa50e293bf2fde ran licence not identified · pointer only
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models 27 May 2024 pp00704831/Stripformer-ECCV-2022-/evaluate_RealBlur_J.py 91fa50e293bf2fde ran no licence file found · pointer only
Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring 19 Apr 2024 ChengxuLiu/MISCFilter/evaluate_RealBlur.py 91fa50e293bf2fde ran MIT (permissive)
Attack-Resilient Image Watermarking Using Stable Diffusion 8 Jan 2024 zhanglijun95/ZoDiac/main/utils.py 0577c3beb6756949 ran fingerprinted no licence file found · pointer only
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring 29 Dec 2023 thqiu0419/mlwnet/evaluate_realblur.py 91fa50e293bf2fde ran no licence file found · pointer only
pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction 19 Dec 2023 dcharatan/pixelsplat/src/evaluation/metrics.py e8002dbf9ab64adc ran MIT (permissive)
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules 26 Aug 2023 bbbbby-99/InsertNeRF/network/metrics.py cf256744cded5e47 ran GPL-3.0 (copyleft) · pointer only
DReg-NeRF: Deep Registration for Neural Radiance Fields 18 Aug 2023 aibluefisher/dreg-nerf/eval_ngp_nerf.py 0c13c6755b974ae9 ran no licence file found · pointer only
Invisible Image Watermarks Are Provably Removable Using Generative AI 2 Jun 2023 XuandongZhao/WatermarkAttacker/utils.py 2f633034edca9832 unverified MIT (permissive)
NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images 27 May 2023 liuyuan-pal/nero/network/metrics.py cfa1ef5be4f8b72c unverified MIT (permissive)
Hierarchical Integration Diffusion Model for Realistic Image Deblurring 22 May 2023 zhengchen1999/HI-Diff/evaluate_realblur.py 91fa50e293bf2fde ran Apache-2.0 (permissive)
Inverse problem regularization with hierarchical variational autoencoders 20 Mar 2023 jprost76/PnP-HVAE/pnphvae.py f652d8349525d92e ran · our draft was wrong fingerprinted MIT (permissive)
MAXIM: Multi-Axis MLP for Image Processing 9 Jan 2022 vztu/maxim-pytorch/Deblurring/evaluate_realblur.py 91fa50e293bf2fde ran Apache-2.0 (permissive)
Active MR k-space Sampling with Reinforcement Learning 20 Jul 2020 facebookresearch/active-mri-acquisition/activemri/envs/util.py 818735d3069334bf unverified MIT (permissive)
Lightweight Image Super-Resolution with Information Multi-distillation Network 26 Sep 2019 cai631/mbmfn/utils.py d047f536a3e39a24 ran fingerprinted Apache-2.0 (permissive)
Camera Lens Super-Resolution 6 Apr 2019 ngchc/CameraSR/Models/VDSR/inference.py 27368c1cf3c3ab65 unverified MIT (permissive)
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning 19 Mar 2019 MRSRL/dl-cs/utils/metrics.py f5b9b2e59b9417d3 unverified MIT (permissive)
Fast Exact k-Means, k-Medians and Bregman Divergence Clustering in 1D 25 Jan 2017 apple/ml-stable-diffusion/python_coreml_stable_diffusion/torch2coreml.py 03a2c78ee113d2d7 unverified MIT (permissive)
arXiv:Lee_OmniSplat_Taming_Feed-Forward_3D_Gaussian_Splatting_for_Omnidirectional_Images_with_CVPR_2025_paper esw0116/OmniSplat/src/evaluation/metrics.py e8002dbf9ab64adc ran 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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