ArtMesh presents a mesh-native pipeline for articulated reconstruction that uses restricted Delaunay remeshing and bidirectional motion consistency to outperform 3D Gaussian Splatting methods on joint estimation and part geometry.
Opdmulti: Openable part detection for multiple objects
3 Pith papers cite this work. Polarity classification is still indexing.
verdicts
UNVERDICTED 3representative citing papers
A pipeline that reconstructs articulated objects from sparse unposed images by aligning independent per-pose reconstructions via learned deformation fields and progressive static/moving part disentanglement.
GSAM integrates vision perceiver, VLM refiner with CoT, LLM constraint generator, and kinematic planner to raise success rate by 36% and cut variance by 3.1% on 50 hinge tasks across 5 categories.
citing papers explorer
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ArtMesh: Part-Aware Articulated Mesh Fields with Motion-Consistent Dynamics
ArtMesh presents a mesh-native pipeline for articulated reconstruction that uses restricted Delaunay remeshing and bidirectional motion consistency to outperform 3D Gaussian Splatting methods on joint estimation and part geometry.
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PAOLI: Pose-free Articulated Object Learning from Sparse-view Images
A pipeline that reconstructs articulated objects from sparse unposed images by aligning independent per-pose reconstructions via learned deformation fields and progressive static/moving part disentanglement.
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GSAM: A Generalizable and Safe Robotic Framework for Articulated Object Manipulation
GSAM integrates vision perceiver, VLM refiner with CoT, LLM constraint generator, and kinematic planner to raise success rate by 36% and cut variance by 3.1% on 50 hinge tasks across 5 categories.