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knn_point

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

knn_point appears in the code Syntology harvested for 23 papers, as 9 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 14 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 knn_point 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 4 of the 9 distinct code bodies named knn_point; 5 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
4ran · fixture could not drive it
0ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 24 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

23 papers shown of 23, newest first; 24 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 3 papers added by Syntology; 4 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
DAP-MAE: Domain-Adaptive Point Cloud Masked Autoencoder for Effective Cross-Domain Learning added by Syntology 2025-10 (from id) CVI-SZU/DAP-MAE/models/dvae.py 55397203c1d5dac1 unverified MIT (permissive)
Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token purging added by Syntology 2025-09 (from id) MosyMosy/Purge-Gate/models/bftt3d_model_utils.py 3fc6f6b239b211f9 ran · fixture could not drive it no licence file found · pointer only
Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance added by Syntology 2025-08 (from id) AIASLab/CFG-ICCV2025/Model/point_pn.py 3fc6f6b239b211f9 ran · fixture could not drive it MIT (permissive)
arXiv:2507.09102 2025-07 (from id) wdttt/PointSD/Point-MAE/models/Point_MAE.py 3fc6f6b239b211f9 ran · fixture could not drive it no licence file found · pointer only
arXiv:2506.22375 2025-06 (from id) handsome999KK/GSP_OOD/models/pointbert/dvae.py 3fc6f6b239b211f9 ran · fixture could not drive it no licence file found · pointer only
Parametric Point Cloud Completion for Polygonal Surface Reconstruction 11 Mar 2025 parametric-completion/paco/paco/transformer_utils.py 2056cc6aed66b0b1 unverified MIT (permissive)
LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences 2 Dec 2024 Hoyyyaard/LSceneLLM/models/dvae.py 3fc6f6b239b211f9 ran · fixture could not drive it no licence file found · pointer only
RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation 12 Aug 2024 cszyzhang/RISurConv/models/risurconv_utils.py 004f60206cdb3858 ran · fixture could not drive it MIT (permissive)
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling 27 May 2024 zyh16143998882/LCM/models/Point_MAE.py 3fc6f6b239b211f9 ran · fixture could not drive it no licence file found · pointer only
3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving 24 May 2024 sbysbysbys/afov/afi/model_utils.py 55397203c1d5dac1 unverified Apache-2.0 (permissive)
No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation 5 Apr 2024 yangyangyang127/seg-nn/models/model_utils.py 55397203c1d5dac1 unverified no licence file found · pointer only
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction 27 Feb 2024 runpeidong/act/models/dvae.py 55397203c1d5dac1 unverified MIT (permissive)
Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions 19 Sep 2023 roywangj/adaptpoint/openpoints/models_adaptpoint/generator_component4_15.py 3fc6f6b239b211f9 ran · fixture could not drive it MIT (permissive)
Collect-and-Distribute Transformer for 3D Point Cloud Analysis 2 Jun 2023 haibo-qiu/cdformer/util/common_util.py fc04f4bec5d8b230 unverified MIT (permissive)
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints 4 May 2023 supersyq/spflownet/model.py fe77e7e139a83777 ran · fixture could not drive it MIT (permissive)
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting 4 Aug 2022 wangzy22/P2P/models/layers/utils.py 55397203c1d5dac1 unverified MIT (permissive)
What Matters for 3D Scene Flow Network 19 Jul 2022 IRMVLab/3DFlow/pointconv_util.py 6413b2b536ff6771 unverified MIT (permissive)
Self-Supervised Scene Flow Estimation with 4-D Automotive Radar 2 Mar 2022 toytiny/raflow/utils/model_utils/pointpwcnet_util.py 07c115b84ba5c7c6 ran · fixture could not drive it MIT (permissive)
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework 15 Feb 2022 ma-xu/pointmlp-pytorch/classification_ModelNet40/models/pointmlp.py 3fc6f6b239b211f9 ran · fixture could not drive it Apache-2.0 (permissive)
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling 29 Nov 2021 lulutang0608/Point-BERT/models/dvae.py 3fc6f6b239b211f9 ran · fixture could not drive it MIT (permissive)
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2 Dec 2016 ECE685-FinalProject/3D-object-recognition/model/pointconv.py 07c115b84ba5c7c6 ran · fixture could not drive it no licence file found · pointer only
arXiv:aaai_32537 Yinghui-Li-New/DAPoinTr/models/Transformer.py 55397203c1d5dac1 unverified MIT (permissive)
arXiv:aaai_32537 Yinghui-Li-New/DAPoinTr/models/dgcnn_group.py ce7d88e47addc720 unverified MIT (permissive)
arXiv:Xue_ULIP-2_Towards_Scalable_Multimodal_Pre-training_for_3D_Understanding_CVPR_2024_paper salesforce/ULIP/models/pointbert/dvae.py 3fc6f6b239b211f9 ran · fixture could not drive it BSD-3-Clause (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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