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bilinear_sampler

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

bilinear_sampler appears in the code Syntology harvested for 23 papers, as 16 distinct code bodies found in 25 places (a place is one code body under one paper). At least one of them ran in 3 of the papers; 1 of the code bodies carries 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 bilinear_sampler 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 16 distinct code bodies named bilinear_sampler; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
0ran
13unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 25 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

23 papers shown of 23, newest first; 25 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; 3 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
MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation 29 Jun 2025 msu-video-group/memfof/memfof/model.py 0d272f32cfaeb750 unverified BSD-3-Clause (permissive)
Online Dense Point Tracking with Streaming Memory 9 Mar 2025 dqiaole/spot/spot/models/shelf/spot.py 0a3912c3f6aa43c4 unverified Apache-2.0 (permissive)
FoundationStereo: Zero-Shot Stereo Matching 17 Jan 2025 NVlabs/FoundationStereo/core/foundation_stereo.py 100f55ad0ce6efe9 ran · our draft was wrong fingerprinted licence not identified · pointer only
FoundationStereo: Zero-Shot Stereo Matching 17 Jan 2025 xiandaguo/openstereo/stereo/modeling/models/foundationstereo/core/foundation_stereo.py 90fc17b50a12390d unverified no licence file found · pointer only
DEFOM-Stereo: Depth Foundation Model Based Stereo Matching 16 Jan 2025 insta360-research-team/defom-stereo/core/utils/utils.py c9398c239fc37bcb unverified MIT (permissive)
Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail 5 Dec 2024 bartn8/stereoanywhere/models/stereoanywhere/utils/utils.py 008b29d30d2ce191 unverified licence not identified · pointer only
Fréchet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos 23 Jul 2024 dsl-lab/fvmd-frechet-video-motion-distance/fvmd/nets/pips2.py 1ac8cce613d98769 unverified Apache-2.0 (permissive)
Towards Generalizable Multi-Object Tracking 1 Jun 2024 qinzheng2000/generaltrack/core/Point2InstanceRelation.py 0dedee28ef8678d8 unverified no licence file found · pointer only
Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching 29 Feb 2024 DFSDDDDD1199/ICGNet/core/geometry.py e33c148d74a24460 unverified MIT (permissive)
AccFlow: Backward Accumulation for Long-Range Optical Flow 25 Aug 2023 mulns/accflow/networks/utils.py 0d272f32cfaeb750 unverified MIT (permissive)
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking 27 Jul 2023 aliciachenw/PIPsUS/nets/pipsUS.py 1ac8cce613d98769 unverified MIT (permissive)
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation 19 Apr 2023 MCG-NKU/AMT/networks/AMT-S.py f7fdd47db37c527a unverified licence not identified · pointer only
TMA: Temporal Motion Aggregation for Event-based Optical Flow 21 Mar 2023 ispc-lab/tma/model/TMA.py 1073fb0e470b2dcd ran · our draft was wrong no licence file found · pointer only
Solving Continuous Control via Q-learning 22 Oct 2022 tseyde/decqn/decqn/misc/augmentation.py 4ebca99b5cc6409e unverified Apache-2.0 (permissive)
Iterative Deep Homography Estimation 30 Mar 2022 imdumpl78/IHN/utils.py 1ac8cce613d98769 unverified Apache-2.0 (permissive)
Sensor-Guided Optical Flow 30 Sep 2021 mattpoggi/sensor-guided-flow/core/utils/utils.py 1ac8cce613d98769 unverified MIT (permissive)
E-RAFT: Dense Optical Flow from Event Cameras 24 Aug 2021 uzh-rpg/e-raft/model/utils.py 1ac8cce613d98769 unverified MIT (permissive)
HDMapNet: An Online HD Map Construction and Evaluation Framework 13 Jul 2021 HFAiLab/hdmapnet/model/base_models/ipm.py 149a4ed27e9a056c unverified MIT (permissive)
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation 17 Aug 2020 FilippoAleotti/Reversing/mono/bilinear_sampler.py c446755f0a857957 unverified Apache-2.0 (permissive)
Learning the geometry of wave-based imaging 10 Jun 2020 kkothari93/fionet/utils.py 42999cf5104528a5 unverified MIT (permissive)
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow 26 Mar 2020 osmr/pytorchcv/pytorchcv/models/raft.py d5720f5449ed1f1b ran · our draft was wrong MIT (permissive)
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow 26 Mar 2020 identical code first harvested elsewhere 1ac8cce613d98769 unverified licence of this copy not recorded
arXiv:Zeng_Parameterized_Cost_Volume_for_Stereo_Matching_ICCV_2023_paper jiaxiZeng/Parameterized-Cost-Volume-for-Stereo-Matching/core/utils/utils.py c9398c239fc37bcb unverified MIT (permissive)
arXiv:Yu_SSHNet_Unsupervised_Cross-modal_Homography_Estimation_via_Problem_Reformulation_and_Split_CVPR_2025_paper Junchen-Yu/SSHNet/utils/flow_utils.py 0dedee28ef8678d8 unverified Apache-2.0 (permissive)
arXiv:Jin_PixelStitch_Structure-Preserving_Pixel-Wise_Bidirectional_Warps_for_Unsupervised_Image_Stitching_ICCV_2025_paper MakiseChris666/PixelStitch/modules/models/raft/utils.py 1ac8cce613d98769 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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