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read_cameras_binary

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

read_cameras_binary appears in the code Syntology harvested for 40 papers, as 11 distinct code bodies found in 41 places (a place is one code body under one paper). At least one of them ran in 16 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_binary 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 11 distinct code bodies named read_cameras_binary; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
2ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 15 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 a10bf79d34938dbd 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 3d7e294ff8567d46 unverified 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 a10bf79d34938dbd 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 1f7b4cd3dea533ca 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 c9dc32524dba1c3e unverified Apache-2.0 (permissive)
SplatFormer: Point Transformer for Robust 3D Gaussian Splatting 10 Nov 2024 ChenYutongTHU/SplatFormer/dataset/colmap_utils.py 4a20cdd355703af3 unverified 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 1a7c58219c1ce58e 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 3d7e294ff8567d46 unverified no licence file found · pointer only
WildGaussians: 3D Gaussian Splatting in the Wild 11 Jul 2024 jkulhanek/wild-gaussians/wildgaussians/datasets/_colmap_utils.py 4a20cdd355703af3 unverified 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 3d7e294ff8567d46 unverified 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 c33bff4fa6509334 ran 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 c33bff4fa6509334 ran Apache-2.0 (permissive)
RaDe-GS: Rasterizing Depth in Gaussian Splatting 3 Jun 2024 BaowenZ/RaDe-GS/utils/colmap_read_model.py 3d7e294ff8567d46 unverified 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 a10bf79d34938dbd 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 0bf4b207ce0d106a 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 a10bf79d34938dbd unverified Apache-2.0 (permissive)
MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo 22 Jan 2024 maybelx/mvsformerplusplus/colmap2mvsnet.py 0bf4b207ce0d106a 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 3d7e294ff8567d46 unverified no licence file found · pointer only
MuRF: Multi-Baseline Radiance Fields 7 Dec 2023 autonomousvision/murf/misc/colmap_read_model.py 3d7e294ff8567d46 unverified MIT (permissive)
Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields 20 Nov 2023 tatakai1/evenerf/evenerf/data_loaders/colmap_read_model.py 3d7e294ff8567d46 unverified Apache-2.0 (permissive)
Spec-NeRF: Multi-spectral Neural Radiance Fields 14 Sep 2023 cpregroup/specnerf-v2/colmapUtils/read_write_model.py c33bff4fa6509334 ran 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 3d7e294ff8567d46 unverified MIT (permissive)
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image 7 Sep 2023 liuyuan-pal/syncdreamer/colmap/read_write_model.py c33bff4fa6509334 ran MIT (permissive)
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules 26 Aug 2023 bbbbby-99/InsertNeRF/colmap/read_write_model.py c33bff4fa6509334 ran 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 3d7e294ff8567d46 unverified 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 a10bf79d34938dbd 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 c33bff4fa6509334 ran MIT (permissive)
Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra 19 Apr 2023 jkulhanek/tetra-nerf/tetranerf/utils/colmap_utils.py 4a20cdd355703af3 unverified MIT (permissive)
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization 31 Mar 2023 BoifZ/VDN-NeRF/colmap_preprocess/colmap_read_model.py 3d7e294ff8567d46 unverified MIT (permissive)
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild 19 Jul 2022 bytedance/particle-sfm/sfm/main_sfm.py 925e00d919c98d07 ran · our draft was wrong GPL-3.0 (copyleft) · pointer only
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction 31 May 2022 ghixu/geo-neus/models/read_write_model.py 3d7e294ff8567d46 unverified MIT (permissive)
Decomposing NeRF for Editing via Feature Field Distillation 31 May 2022 kwea123/ngp_pl/datasets/colmap_utils.py 3d7e294ff8567d46 unverified MIT (permissive)
IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo 9 Dec 2021 fangjinhuawang/itermvs/colmap_input.py 1050b0e73741dd31 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 3d7e294ff8567d46 unverified MIT (permissive)
Visibility-aware Multi-view Stereo Network 18 Aug 2020 jzhangbs/Vis-MVSNet/colmap2mvsnet.py 0bf4b207ce0d106a 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 0bf4b207ce0d106a ran · our draft was wrong MIT (permissive)
Planar Prior Assisted PatchMatch Multi-View Stereo 26 Dec 2019 GhiXu/ACMP/colmap2mvsnet_acm.py 0bf4b207ce0d106a 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 0bf4b207ce0d106a 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 0bf4b207ce0d106a 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 1050b0e73741dd31 ran MIT (permissive)
arXiv:Ren_VolRecon_Volume_Rendering_of_Signed_Ray_Distance_Functions_for_Generalizable_CVPR_2023_paper IVRL/VolRecon/colmap_input.py 9e1b965affeb9570 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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