DeepTopoClustering: Unsupervised Derivation of Surface Process Taxonomy from 4D Point Clouds for Topographic Monitoring
DeepTopoClustering derives an unsupervised taxonomy of surface processes from 4D laser-scanning point clouds.
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Stories tagged #point-clouds
FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations
FAMOS is a feed-forward model predicting movable-part segmentation and joint parameters from sparse unordered point clouds, beating baselines on PartNet-Mobility, ACD, and ArtiCraft-10K.
NeuSOGA3D: A Neuro-Symbolic Framework for Explainable 3D Geometric Reconstruction
NeuSOGA3D combines learned perception with symbolic spline reasoning to produce explainable, CAD-compatible 3D reconstructions from point clouds across all forty ModelNet40 categories.
FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations
FAMOS is a feed-forward model predicting movable-part segmentation and joint parameters from sparse unordered point clouds, outperforming baselines on PartNet-Mobility and ACD.