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translate_pointcloud

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

translate_pointcloud appears in the code Syntology harvested for 15 papers, as 2 distinct code bodies found in 15 places (a place is one code body under one paper). At least one of them ran in 1 of the papers; 1 of the code bodies carries 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 translate_pointcloud 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 1 of the 2 distinct code bodies named translate_pointcloud; 1 is 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
1ran
1unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 15 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

15 papers shown of 15, newest first; 15 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; 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
Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token purging added by Syntology 2025-09 (from id) MosyMosy/Purge-Gate/datasets/ShapeNetCoreDataset.py 791051c3e72b67d2 unverified no licence file found · pointer only
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning 31 Aug 2024 kunmingsu07/ri-mae/datasets/ShapeNetPart.py 791051c3e72b67d2 unverified no licence file found · pointer only
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning 5 Jan 2024 jinec98/dhgcn/obj_cls/data.py 791051c3e72b67d2 unverified no licence file found · pointer only
Robustifying Point Cloud Networks by Refocusing 10 Aug 2023 yossilevii100/critical_points2/robust_classification/data.py 66c3dd8b246f27ea ran fingerprinted no licence file found · pointer only
Collect-and-Distribute Transformer for 3D Point Cloud Analysis 2 Jun 2023 haibo-qiu/cdformer/util/shapenetpart.py 791051c3e72b67d2 unverified MIT (permissive)
Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy 13 May 2023 iyerkrithika21/mesh2ssm_2023/data.py 791051c3e72b67d2 unverified MIT (permissive)
Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder 7 Apr 2023 llien30/point_cloud_anomaly_detection/libs/dataset.py 791051c3e72b67d2 unverified MIT (permissive)
Class-Level Confidence Based 3D Semi-Supervised Learning 18 Oct 2022 AutoAILab/Confid-SSL/data.py 791051c3e72b67d2 unverified MIT (permissive)
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions 28 Jan 2022 jiachens/ModelNet40-C/pointMLP/classification_ModelNet40/data.py 791051c3e72b67d2 unverified BSD-3-Clause (permissive)
MVT: Multi-view Vision Transformer for 3D Object Recognition 25 Oct 2021 shanshuo/MVT/data_util.py 791051c3e72b67d2 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Mix3D: Out-of-Context Data Augmentation for 3D Scenes 5 Oct 2021 TejasAnvekar/Mahalanobis-k-NN/dcp/data.py 791051c3e72b67d2 unverified MIT (permissive)
SGAS: Sequential Greedy Architecture Search 30 Nov 2019 lightaime/sgas/gcn/gcn_point/load_modelnet.py 791051c3e72b67d2 unverified MIT (permissive)
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows 28 Jun 2019 AnTao97/FoldingNet.pytorch/dataset.py 791051c3e72b67d2 unverified MIT (permissive)
FlowNet3D: Learning Scene Flow in 3D Point Clouds 4 Jun 2018 hyangwinter/flownet3d_pytorch/data.py 791051c3e72b67d2 unverified MIT (permissive)
arXiv:Yuan_Learning_Normal_Flow_Directly_From_Events_ICCV_2025_paper dhyuan99/VecKM/experiments/classification/data.py 791051c3e72b67d2 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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