Geometric and Semantic Coupling for Interaction Understanding in 3D Scenes
Segment-Snap combines geometric motion priors and semantic part-handle predictors for 3D interaction understanding.
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Stories tagged #3d-vision
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.
Reflection-aware Generative Novel View Synthesis
Ref-GeNVS is a training-free method for reflection-consistent generative novel view synthesis that treats mirror images as two complementary views.