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rotate_point_cloud

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

rotate_point_cloud appears in the code Syntology harvested for 17 papers, as 10 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 7 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 rotate_point_cloud 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 2 of the 10 distinct code bodies named rotate_point_cloud; 8 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
1ran · fixture could not drive it
1ran
8unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 17 places is 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

17 papers shown of 17, newest first; 17 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; 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
arXiv:2507.09102 2025-07 (from id) wdttt/PointSD/train_pointsd.py 7cfd23f8ad7b1c8a unverified no licence file found · pointer only
4D Gaussian Splatting for Real-Time Dynamic Scene Rendering 12 Oct 2023 hustvl/4DGaussians/merge_many_4dgs.py 473be863d3a190d8 ran Apache-2.0 (permissive)
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps 2 Jun 2022 astra-vision/LiDPM/lidpm/utils/pcd_transforms.py a9f27fc650c1d8ce unverified Apache-2.0 (permissive)
Benchmarking and Analyzing Point Cloud Classification under Corruptions 7 Feb 2022 jiawei-ren/modelnetc/GDANet/provider.py adb85367d5bf360a ran · fixture could not drive it fingerprinted Apache-2.0 (permissive)
Diffusion Probabilistic Models for 3D Point Cloud Generation 2 Mar 2021 fpthink/PDGN/models/PDGNet.py adb85367d5bf360a ran · fixture could not drive it fingerprinted MIT (permissive)
RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud 26 Jun 2020 Salingo/RPM-Net/code/utils/provider.py adb85367d5bf360a ran · fixture could not drive it fingerprinted MIT (permissive)
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification 2 Apr 2020 fei960922/GPointNet/utils/data_util.py d6e04da6d982ddfa unverified MIT (permissive)
Learning to Segment 3D Point Clouds in 2D Image Space 12 Mar 2020 Zhang-VISLab/Learning-to-Segment-3D-Point-Clouds-in-2D-Image-Space/fun_provider.py eeb72089477daa91 unverified MIT (permissive)
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning 17 Aug 2019 hkust-vgd/riconv/utils/provider.py 15c7941a6335971a unverified MIT (permissive)
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data 13 Aug 2019 hkust-vgd/scanobjectnn/3DmFV-Net/provider.py adb85367d5bf360a ran · fixture could not drive it fingerprinted MIT (permissive)
Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features 22 Apr 2019 KuangenZhang/ldgcnn/provider.py 3c71c023acad0d08 unverified MIT (permissive)
Path-Invariant Map Networks 31 Dec 2018 zaiweizhang/path_invariance_map_network/provider.py 1f9e48ada82a799b unverified BSD-3-Clause (permissive)
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters 30 Mar 2018 xyf513/SpiderCNN/utils/provider.py adb85367d5bf360a ran · fixture could not drive it fingerprinted MIT (permissive)
Local Spectral Graph Convolution for Point Set Feature Learning 15 Mar 2018 fate3439/LocalSpecGCN/utils/provider.py 1f9e48ada82a799b unverified MIT (permissive)
arXiv:aaai_25101 a4152684/KT-Net/net/dataset/dataset_kitti.py e291111f7dc24298 unverified MIT (permissive)
arXiv:Nunes_Temporal_Consistent_3D_LiDAR_Representation_Learning_for_Semantic_Perception_in_CVPR_2023_paper PRBonn/TARL/tarl/utils/pcd_transforms.py a9f27fc650c1d8ce unverified MIT (permissive)
arXiv:136620053 Tianxinhuang/PCDNet/provider.py adb85367d5bf360a ran · fixture could not drive it fingerprinted 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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