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visualize_depth

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

visualize_depth appears in the code Syntology harvested for 16 papers, as 7 distinct code bodies found in 16 places (a place is one code body under one paper). At least one of them ran in 12 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 visualize_depth 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 7 distinct code bodies named visualize_depth; 4 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
4unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 16 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

16 papers shown of 16, newest first; 16 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
Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation 18 Dec 2024 DepthAnything/PromptDA/promptda/utils/depth_utils.py f0e4cc139ee17330 unverified Apache-2.0 (permissive)
Geometry-aware Reconstruction and Fusion-refined Rendering for Generalizable Neural Radiance Fields 26 Apr 2024 TQTQliu/GeFu/lib/evaluators/gefu.py 2dba2534788c62f5 ran MIT (permissive)
OV-NeRF: Open-vocabulary Neural Radiance Fields with Vision and Language Foundation Models for 3D Semantic Understanding 7 Feb 2024 pcl3dv/ov-nerf/funcs.py 5346431312bff754 ran no licence file found · pointer only
SlimmeRF: Slimmable Radiance Fields 15 Dec 2023 shiran-yuan/slimmerf/utils.py 5346431312bff754 ran MIT (permissive)
OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments 14 Dec 2023 linshan-bin/occnerf/utils/loss_metric.py 2379a0f9748e837f ran Apache-2.0 (permissive)
MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields 3 Oct 2023 apchenstu/TensoRF/utils.py 5346431312bff754 ran MIT (permissive)
Spec-NeRF: Multi-spectral Neural Radiance Fields 14 Sep 2023 cpregroup/specnerf-v2/utils.py 5346431312bff754 ran no licence file found · pointer only
Weakly Supervised 3D Open-vocabulary Segmentation 23 May 2023 Kunhao-Liu/3D-OVS/funcs.py 5346431312bff754 ran MIT (permissive)
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields 28 Apr 2023 fudan-zvg/nerf-lidar/NeRF_LiDAR/zipnerf/render.py 02254ee244c3908e unverified no licence file found · pointer only
Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis 7 Mar 2023 imkanghan/nrff/utils.py 5346431312bff754 ran MIT (permissive)
Factor Fields: A Unified Framework for Neural Fields and Beyond 2 Feb 2023 autonomousvision/factor-fields/utils.py a3e87fc7562ed971 unverified MIT (permissive)
Compressible-composable NeRF via Rank-residual Decomposition 30 May 2022 ashawkey/CCNeRF/utils.py 5346431312bff754 ran MIT (permissive)
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation 7 Apr 2022 weiyithu/surrounddepth/utils.py 2379a0f9748e837f ran MIT (permissive)
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image 2 Apr 2022 VITA-Group/SinNeRF/datasets/blender_ray_patch_1image_rot3d.py cf55a02a26d5dc86 unverified MIT (permissive)
arXiv:Gan_GaussianOcc_Fully_Self-supervised_and_Efficient_3D_Occupancy_Estimation_with_Gaussian_ICCV_2025_paper GANWANSHUI/GaussianOcc/utils/loss_metric.py 2379a0f9748e837f ran Apache-2.0 (permissive)
arXiv:Ding_TransMVSNet_Global_Context-Aware_Multi-View_Stereo_Network_With_Transformers_CVPR_2022_paper MegviiRobot/TransMVSNet/utils.py 2379a0f9748e837f ran 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