FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations
FAMOS, a feed-forward model that predicts movable-part segmentation and joint parameters from a sparse, unordered set of partial point clouds, is presented and a procedural data generator that synthesizes self-annotated assets during training is introduced to overcome the limited scale and diversity of existing dataset...
Kevin Qu, Tao Sun, Massimiliano Viola et al.
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