Part²GS introduces a part-aware 3D Gaussian representation with physics-guided motion constraints and a repel point field for high-fidelity modeling of articulated objects.
Articulatedgs: Self-supervised digital twin modeling of articulated objects using 3d gaussian splatting
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
cs.CV 3verdicts
UNVERDICTED 3representative citing papers
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.
SPAGS reconstructs articulated objects from sparse single-state RGB images by constraining Gaussians to planar primitives, optimizing with depth and diffusion priors, and using a VLM for part segmentation and joint estimation.
citing papers explorer
-
Part$^{2}$GS: Part-aware Modeling of Articulated Objects using 3D Gaussian Splatting
Part²GS introduces a part-aware 3D Gaussian representation with physics-guided motion constraints and a repel point field for high-fidelity modeling of articulated objects.
-
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.
-
SPAGS: Sparse-View Articulated Object Reconstruction from Single State via Planar Gaussian Splatting
SPAGS reconstructs articulated objects from sparse single-state RGB images by constraining Gaussians to planar primitives, optimizing with depth and diffusion priors, and using a VLM for part segmentation and joint estimation.