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read_cameras_text

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

read_cameras_text appears in the code Syntology harvested for 40 papers, as 7 distinct code bodies found in 41 places (a place is one code body under one paper). At least one of them ran in 32 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 read_cameras_text 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 7 distinct code bodies named read_cameras_text; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
1ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 14 of the 41 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

40 papers shown of 40, newest first; 41 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 3 papers added by Syntology; 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
Fast Converging 3D Gaussian Splatting for 1-Minute Reconstruction added by Syntology 2026-01 (from id) will-zzy/siggraph_asia/utils/read_write_model.py c424ebf4a6c32cbd unverified licence not identified · pointer only
LGDWT-GS: Local and Global Discrete Wavelet-Regularized 3D Gaussian Splatting for Sparse-View Scene Reconstruction added by Syntology 2026-01 (from id) Advanced-Vision-and-Learning-Lab/sparse-view-3dgs-pack/dataset_preprocessing/poses/colmap_read_model.py 8a38e306ff4c5b42 ran · our draft was wrong no licence file found · pointer only
InfiniteVGGT: Visual Geometry Grounded Transformer for Endless Streams added by Syntology 2026-01 (from id) AutoLab-SAI-SJTU/InfiniteVGGT/datasets_preprocess/read_write_model.py c424ebf4a6c32cbd unverified Apache-2.0 (permissive)
MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos 5 Dec 2024 mega-sam/mega-sam/colmap_read_model.py b768293892633d35 unverified Apache-2.0 (permissive)
MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos 5 Dec 2024 mega-sam/mega-sam/camera_tracking_scripts/colmap_read_model.py 35498794a9af2019 unverified Apache-2.0 (permissive)
SplatFormer: Point Transformer for Robust 3D Gaussian Splatting 10 Nov 2024 ChenYutongTHU/SplatFormer/dataset/colmap_utils.py 8a38e306ff4c5b42 ran · our draft was wrong no licence file found · pointer only
AutoVFX: Physically Realistic Video Editing from Natural Language Instructions 4 Nov 2024 haoyuhsu/autovfx/dataset_utils/colmap_read_model.py 2de01ac9135d19ec unverified MIT (permissive)
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis 31 Oct 2024 sailor-z/se-gs/utils/colmap_read_model.py 8a38e306ff4c5b42 ran · our draft was wrong no licence file found · pointer only
WildGaussians: 3D Gaussian Splatting in the Wild 11 Jul 2024 jkulhanek/wild-gaussians/wildgaussians/datasets/_colmap_utils.py 8a38e306ff4c5b42 ran · our draft was wrong no licence file found · pointer only
OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos 8 Jul 2024 vLAR-group/OSN/data_prepare/colmap_utils/colmap_read_model.py 8a38e306ff4c5b42 ran · our draft was wrong no licence file found · pointer only
Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image 6 Jun 2024 eldar/flash3d/datasets/colmap_utils.py 8a38e306ff4c5b42 ran · our draft was wrong no licence file found · pointer only
Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion 5 Jun 2024 Costwen/Ouroboros3D/src/utils/colmap.py 8a38e306ff4c5b42 ran · our draft was wrong Apache-2.0 (permissive)
RaDe-GS: Rasterizing Depth in Gaussian Splatting 3 Jun 2024 BaowenZ/RaDe-GS/utils/colmap_read_model.py 8a38e306ff4c5b42 ran · our draft was wrong no licence file found · pointer only
GS-Phong: Meta-Learned 3D Gaussians for Relightable Novel View Synthesis 31 May 2024 ymhe12/GS-Phong/utils/read_write_model.py c424ebf4a6c32cbd unverified no licence file found · pointer only
UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and UnFavOrable Sets 8 Mar 2024 Youngju-Na/UFORecon/colmap2mvsnet.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
Learning to Produce Semi-dense Correspondences for Visual Localization 13 Feb 2024 TruongKhang/DeViLoc/deviloc/utils/read_write_model.py c424ebf4a6c32cbd unverified Apache-2.0 (permissive)
MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo 22 Jan 2024 maybelx/mvsformerplusplus/colmap2mvsnet.py 8a38e306ff4c5b42 ran · our draft was wrong Apache-2.0 (permissive)
CTNeRF: Cross-Time Transformer for Dynamic Neural Radiance Field from Monocular Video 10 Jan 2024 xingy038/ctnerf/utils/colmap_utils.py 8a38e306ff4c5b42 ran · our draft was wrong no licence file found · pointer only
MuRF: Multi-Baseline Radiance Fields 7 Dec 2023 autonomousvision/murf/misc/colmap_read_model.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields 20 Nov 2023 tatakai1/evenerf/evenerf/data_loaders/colmap_read_model.py 8a38e306ff4c5b42 ran · our draft was wrong Apache-2.0 (permissive)
Spec-NeRF: Multi-spectral Neural Radiance Fields 14 Sep 2023 cpregroup/specnerf-v2/colmapUtils/read_write_model.py 8a38e306ff4c5b42 ran · our draft was wrong no licence file found · pointer only
ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images 16 Sep 2023 taekkii/exblurf/run_colmap/colmap_read_model.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image 7 Sep 2023 liuyuan-pal/syncdreamer/colmap/read_write_model.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules 26 Aug 2023 bbbbby-99/InsertNeRF/colmap/read_write_model.py 8a38e306ff4c5b42 ran · our draft was wrong GPL-3.0 (copyleft) · pointer only
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts 22 Aug 2023 VITA-Group/GNT-MOVE/gnt/data_loaders/colmap_read_model.py 8a38e306ff4c5b42 ran · our draft was wrong no licence file found · pointer only
3D Gaussian Splatting for Real-Time Radiance Field Rendering 8 Aug 2023 graphdeco-inria/gaussian-splatting/utils/read_write_model.py c424ebf4a6c32cbd unverified no licence file found · pointer only
NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images 27 May 2023 liuyuan-pal/nero/colmap/read_write_model.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra 19 Apr 2023 jkulhanek/tetra-nerf/tetranerf/utils/colmap_utils.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization 31 Mar 2023 BoifZ/VDN-NeRF/colmap_preprocess/colmap_read_model.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
MeshLoc: Mesh-Based Visual Localization 21 Jul 2022 tsattler/meshloc_release/localize.py 33cd02be658d1c8a unverified BSD-3-Clause (permissive)
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction 31 May 2022 ghixu/geo-neus/models/read_write_model.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
Decomposing NeRF for Editing via Feature Field Distillation 31 May 2022 kwea123/ngp_pl/datasets/colmap_utils.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo 9 Dec 2021 fangjinhuawang/itermvs/colmap_input.py 993db1df6eec5609 ran MIT (permissive)
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction 20 Jun 2021 Totoro97/NeuS/preprocess_custom_data/colmap_preprocess/colmap_read_model.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
Visibility-aware Multi-view Stereo Network 18 Aug 2020 jzhangbs/Vis-MVSNet/colmap2mvsnet.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking 21 Jul 2020 haibao637/D2HC-RMVSNet/mvsnet/colmap2mvsnet.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
Planar Prior Assisted PatchMatch Multi-View Stereo 26 Dec 2019 GhiXu/ACMP/colmap2mvsnet_acm.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching 13 Dec 2019 alibaba/cascade-stereo/CasMVSNet/colmap2mvsnet.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference 27 Feb 2019 YoYo000/MVSNet/mvsnet/colmap2mvsnet.py 8a38e306ff4c5b42 ran · our draft was wrong MIT (permissive)
arXiv:Wang_IterMVS_Iterative_Probability_Estimation_for_Efficient_Multi-View_Stereo_CVPR_2022_paper FangjinhuaWang/IterMVS/colmap_input.py 993db1df6eec5609 ran MIT (permissive)
arXiv:Ren_VolRecon_Volume_Rendering_of_Signed_Ray_Distance_Functions_for_Generalizable_CVPR_2023_paper IVRL/VolRecon/colmap_input.py 8a38e306ff4c5b42 ran · our draft was wrong 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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