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chamfer_distance

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

chamfer_distance appears in the code Syntology harvested for 17 papers, as 15 distinct code bodies found in 18 places (a place is one code body under one paper). At least one of them ran in 2 of the papers; 2 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 chamfer_distance 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 15 distinct code bodies named chamfer_distance; 12 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
12unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 18 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

17 papers shown of 17, newest first; 18 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. 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
CADFit: Precise Mesh-to-CAD Program Generation with Hybrid Optimization added by Syntology 2026-05 (from id) ghadinehme/CADFit/analyze_loop_translation.py 60b5af3eeb1bd12c ran fingerprinted licence not identified · pointer only
CADFit: Precise Mesh-to-CAD Program Generation with Hybrid Optimization added by Syntology 2026-05 (from id) ghadinehme/CADFit/analyze_revolve_axis.py 5b3963c58f11f90f ran licence not identified · pointer only
Symmetry-Robust 3D Orientation Estimation 2 Oct 2024 cscarv/3d-orienter/utils/losses.py 782097a83466299d ran fingerprinted GPL-3.0 (copyleft) · pointer only
Score dynamics: scaling molecular dynamics with picoseconds timestep via conditional diffusion model 2 Oct 2023 llnl/graphite/src/graphite/nn/loss.py 137215967efdffce unverified licence not identified · pointer only
3D Implicit Transporter for Temporally Consistent Keypoint Discovery 10 Sep 2023 zhongcl-thu/3D-Implicit-Transporter/core/nets/common.py f4d8f4c4d0f7da71 unverified MIT (permissive)
LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation 22 Apr 2023 songw-zju/LiDAR2Map/map/evaluation/chamfer_distance.py bd2738dcfbe8cea9 unverified MIT (permissive)
SNAKE: Shape-aware Neural 3D Keypoint Field 3 Jun 2022 zhongcl-thu/SNAKE/core/nets/common.py f4d8f4c4d0f7da71 unverified MIT (permissive)
Probabilistic Implicit Scene Completion 4 Apr 2022 96lives/gca/baselines/common.py abfc6cc1d6dbd59b unverified MIT (permissive)
Point Scene Understanding via Disentangled Instance Mesh Reconstruction 31 Mar 2022 ashawkey/dimr/evaluation/cd/metrics.py db0ecf50d179a176 unverified Apache-2.0 (permissive)
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap 8 Mar 2022 Gorilla-Lab-SCUT/QS3/DefRec.py f3aebb3c24fe89d6 unverified MIT (permissive)
HDMapNet: An Online HD Map Construction and Evaluation Framework 13 Jul 2021 HFAiLab/hdmapnet/evaluation/chamfer_distance.py bd2738dcfbe8cea9 unverified MIT (permissive)
Ray-ONet: Efficient 3D Reconstruction From A Single RGB Image 5 Jul 2021 ActiveVisionLab/ray-onet/im2mesh/common.py f4d8f4c4d0f7da71 unverified MIT (permissive)
Self-Sampling for Neural Point Cloud Consolidation 14 Aug 2020 galmetzer/self-sample/losses.py ffba37a04755f124 unverified MIT (permissive)
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss 6 Apr 2020 dgriffiths3/finding-your-center/utils/losses.py 08fd7e4daf7b69ef unverified MIT (permissive)
RPM-Net: Robust Point Matching using Learned Features 30 Mar 2020 vinits5/masknet/learning3d/losses/chamfer_distance.py 1adcfbd14aa61be6 unverified MIT recorded; this copy not marked cleared · pointer only
Self-Supervised Learning for Domain Adaptation on Point-Clouds 29 Mar 2020 IdanAchituve/DefRec_and_PCM/DefRec_and_PCM/DefRec.py ab0adee9afdcd4d0 unverified no licence file found · pointer only
Efficient Learning on Point Clouds with Basis Point Sets 24 Aug 2019 sergeyprokudin/bps/bps_demos/chamfer_distance.py 0125e5be33ffc62f unverified MIT-0 recorded; this copy not marked cleared · pointer only
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions 15 May 2019 prajwalsingh/TreeGCN-ED/losses.py d55242abeb8deaae 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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