Home › Code › transform_points

transform_points

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

transform_points appears in the code Syntology harvested for 19 papers, as 12 distinct code bodies found in 19 places (a place is one code body under one paper). At least one of them ran in 7 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 transform_points 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 3 of the 12 distinct code bodies named transform_points; 9 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
3ran
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 19 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

19 papers shown of 19, newest first; 19 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 2 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
InfiniteVGGT: Visual Geometry Grounded Transformer for Endless Streams added by Syntology 2026-01 (from id) AutoLab-SAI-SJTU/InfiniteVGGT/src/visual_util.py 6c42619d40da80fa unverified Apache-2.0 (permissive)
GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors added by Syntology 13 Aug 2025 GVCLab/GSFixer/Reconstruction/gsfixer/vggt/visual_util.py 6c42619d40da80fa unverified no licence file found · pointer only
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection 1 Aug 2024 Ruiyang-061X/UA3D/data_preprocessing/gather_historical_traversals.py 8b80c6bbc9d282b1 ran MIT (permissive)
Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation 4 Jun 2024 aminebdj/openyolo3d/evaluate/scannet200/util_3d.py be96878cd262fb03 unverified no licence file found · pointer only
DiffuBox: Refining 3D Object Detection with Point Diffusion 25 May 2024 cxy1997/DiffuBox/vis_utils.py 8b80c6bbc9d282b1 ran no licence file found · pointer only
CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer 11 Nov 2023 howiema/cvthead/models/cvthead.py 56cdde05587e0708 ran no licence file found · pointer only
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators 5 Oct 2023 WHU-USI3DV/FreeReg/utils/utils.py 2494bd08ee95716b unverified no licence file found · pointer only
DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous Driving 30 Aug 2023 marmotatzju/drl-based-trajectory-tracking/drltt/common/geometry.py 24f1448b5889cf32 ran MIT (permissive)
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving 27 Mar 2023 yurongyou/rote-da/p2_score/gather_past_traversals.py 8b80c6bbc9d282b1 ran MIT (permissive)
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations 19 Mar 2023 bunnysocrazy/secad-net/model/network.py d99f5fe17a529cb1 unverified MIT (permissive)
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution 1 Mar 2023 VinAIResearch/ISBNet/isbnet/evaluation/instance_eval_util.py d328ddb2e66ec4be unverified BSD-3-Clause (permissive)
Learning to Detect Mobile Objects from LiDAR Scans Without Labels 29 Mar 2022 trailab/hypermodest/data_preprocessing/gather_historical_traversals.py 8b80c6bbc9d282b1 ran MIT (permissive)
Learning from All Vehicles 22 Mar 2022 dotchen/LAV/lav/models/bev_planner.py b7e9e267578a969c unverified Apache-2.0 (permissive)
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception 22 Mar 2022 YurongYou/Hindsight/data_preprocessing/gather_historical_traversals.py 8b80c6bbc9d282b1 ran MIT (permissive)
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset 17 Mar 2022 thangvubk/softgroup/softgroup/evaluation/instance_eval_util.py d328ddb2e66ec4be unverified MIT (permissive)
$AIR^2$ for Interaction Prediction 16 Nov 2021 david9dragon9/air/utils.py 40756db9b6ed7d68 unverified Apache-2.0 (permissive)
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning 11 Nov 2019 praveen-palanisamy/macad-gym/src/macad_gym/carla/Transform.py 221aa9bc0bce9068 unverified MIT (permissive)
Stereo Magnification: Learning View Synthesis using Multiplane Images 24 May 2018 google/stereo-magnification/geometry/homography.py 4aec7449c0cf31ce unverified Apache-2.0 (permissive)
arXiv:aaai_25335 sunjiahao1999/SPFormer/spformer/evaluation/instance_eval_util.py d328ddb2e66ec4be 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".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections