Browse State-of-the-Art › Articulated Object modelling
Articulated Object modelling
3 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
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
2 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
3 shown of 3 papers with code (3 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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1 Apr 2024 1 repository listed Syntology ran 11 of 13 samples · 2 unverified · 13 pointer-only (licence)We address the problem of building digital twins of unknown articulated objects from two RGBD scans of the object at different articulation states.
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24 Mar 2024 1 repository listedOur primary contribution is a Robust Articulation Network (RoArtNet) that is able to predict both joint parameters and affordable points robustly by local feature learning and point tuple voting.
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14 Aug 2023 1 repository listed Syntology ran 7 of 9 samples · 2 unverifiedOur approach improves reconstruction relative to state-of-the-art baselines with a Chamfer-L1 distance reduction of 3.
Syntology lines on 2 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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