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euler2mat

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

euler2mat appears in the code Syntology harvested for 21 papers, as 13 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 5 of the papers; 3 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 euler2mat 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 13 distinct code bodies named euler2mat; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
1ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
1ran
9unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 22 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

21 papers shown of 21, newest first; 22 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; 2 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
Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance 10 Sep 2024 zhang-vislab/iros2024-lossdistillationweightedcd/codes/pointnet_utils/eulerangles.py c895ee22fc847eed unverified MIT (permissive)
CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers 3 Jan 2024 easyry/cra-pcn/pointnet_utils/eulerangles.py c895ee22fc847eed unverified no licence file found · pointer only
DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation 11 Oct 2023 rongakowang/DeepSimHO/model/rotation.py 8db0cefd86f616be ran no licence file found · pointer only
ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance 29 Mar 2023 ivan-tang-3d/any2point/Any2Point_CLIP_Lang/models/peft_module/mv_utils.py 140122b970061273 ran · violated contract fingerprinted no licence file found · pointer only
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning 21 Nov 2022 yangyangyang127/pointclip_v2/zeroshot_seg/realistic_projection.py 140122b970061273 ran · violated contract fingerprinted MIT (permissive)
Visual Reinforcement Learning with Self-Supervised 3D Representations 13 Oct 2022 YanjieZe/rl3d/src/algorithms/rot_utils.py 797689fffbce98da unverified MIT (permissive)
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth 29 Mar 2022 AutoAILab/DynamicDepth/dynamicdepth/rigid_warp.py bbe3299ff4286ecb ran · our draft was wrong fingerprinted no licence file found · pointer only
A Visual Navigation Perspective for Category-Level Object Pose Estimation 25 Mar 2022 wrld/visual_navigation_pose_estimation/models/networks/networks.py 966e21cead161e27 unverified MIT (permissive)
Point Cloud Upsampling via Disentangled Refinement 9 Jun 2021 liruihui/Dis-PU/Common/eulerangles.py c895ee22fc847eed unverified Apache-2.0 (permissive)
Geometric Unsupervised Domain Adaptation for Semantic Segmentation 30 Mar 2021 tri-ml/packnet-sfm/packnet_sfm/geometry/pose_utils.py a4c5f47d2c6efb9c unverified MIT (permissive)
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency 4 Feb 2021 SeokjuLee/Insta-DM/rigid_warp.py 0940c621ec0add91 ran · honoured contract fingerprinted licence not identified · pointer only
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification 2 Apr 2020 fei960922/GPointNet/utils/eulerangles.py c895ee22fc847eed unverified MIT (permissive)
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth 27 Feb 2020 TRI-ML/packnet-sfm/packnet_sfm/geometry/pose_utils.py a4c5f47d2c6efb9c unverified MIT (permissive)
Advbox: a toolbox to generate adversarial examples that fool neural networks 13 Jan 2020 advboxes/AdvBox/advbox_family/ODD/EOT_simulation/eulerangles.py c895ee22fc847eed unverified Apache-2.0 (permissive)
Track to Reconstruct and Reconstruct to Track 30 Sep 2019 tobiasfshr/MOTSFusion/utils/geometry_utils.py 83fdee0f424d9083 unverified MIT (permissive)
Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency 19 Sep 2019 hlzz/DeepMatchVO/geo_utils.py 5fe6d6d6afa1a77c unverified MIT (permissive)
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions 15 May 2019 EricDai0/AdvGCGAN/eulerangles.py c895ee22fc847eed unverified MIT (permissive)
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation 24 May 2018 anuragranj/cc/inverse_warp.py 1d6bb2dfc56a4507 unverified MIT (permissive)
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose 6 Mar 2018 yzcjtr/GeoNet/utils.py 46a3f7669dcd8ad5 unverified MIT (permissive)
arXiv:aaai_6994 dlinzhao/JSNet/utils/eulerangles.py c895ee22fc847eed unverified MIT (permissive)
arXiv:Sun_HoHoNet_360_Indoor_Holistic_Understanding_With_Latent_Horizontal_Features_CVPR_2021_paper Yeh-yu-hsuan/BiFuse/Utils/Transform.py 1d6bb2dfc56a4507 unverified MIT (permissive)
arXiv:Sun_HoHoNet_360_Indoor_Holistic_Understanding_With_Latent_Horizontal_Features_CVPR_2021_paper Yeh-yu-hsuan/BiFuse/Utils/Equirec2Cube/EquirecRotate.py 735a15c8b45b7e51 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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