Browse State-of-the-Art › Pose Retrieval
Pose Retrieval
11 papers with code · 2 benchmarks · 4 datasets archive 2025-07-28
Retrieval of similar human poses from images or videos
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| Human3.6M (1 row) | Pr-VIPE | View-Invariant Probabilistic Embedding for Human Pose | code | — | Compare |
| MPI-INF-3DHP (1 row) | Pr-VIPE | View-Invariant Probabilistic Embedding for Human Pose | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
11 shown of 11 papers with code (23 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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12 Sep 2023 3 repositories listedWe present an automated and efficient approach for retrieving high-quality CAD models of objects and their poses in a scene captured by a moving RGB-D camera.
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22 Dec 2022 2 repositories listedWe present an automatic method for annotating images of indoor scenes with the CAD models of the objects by relying on RGB-D scans.
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2 Dec 2019 2 repositories listedDepictions of similar human body configurations can vary with changing viewpoints.
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14 Oct 2024 1 repository listed Syntology ran 4 of 6 samples · 2 unverifiedRecent advancements in human motion synthesis have focused on specific types of motions, such as human-scene interaction, locomotion or human-human interaction, however, there is a lack of a unified system capable of…
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17 Aug 2024 1 repository listedThis paper introduces an open-source interface for American Sign Language fingerspell recognition and semantic pose retrieval, aimed to serve as a stepping stone towards more advanced sign language translation systems.
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12 Aug 2022 1 repository listedIn both cases, the idea is to directly predict the pose of an object.
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1 Dec 2021 1 repository listedIn this work, we introduce TriBERT -- a transformer-based architecture, inspired by ViLBERT, which enables contextual feature learning across three modalities: vision, pose, and audio, with the use of flexible…
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26 Oct 2021 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)In this work, we introduce TriBERT -- a transformer-based architecture, inspired by ViLBERT, which enables contextual feature learning across three modalities: vision, pose, and audio, with the use of flexible…
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11 Oct 2021 1 repository listedHuman pose estimation (HPE) from RGB and depth images has recently experienced a push for viewpoint-invariant and scale-invariant pose retrieval methods.
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4 Aug 2021 1 repository listedLikewise, a pose estimator for the illustrated character domain would provide a valuable prior for assistive content creation tasks, such as reference pose retrieval and automatic character animation.
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4 Apr 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedDuring the correctional-captioning task, models must generate descriptions of how to move from the current to target pose image, whereas in the retrieval task, models should select the correct target pose given the…
Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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