most citedSymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images

10 citations · 10 across the 1 of their papers we have counts for

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1 paper

cs.CV2020★ 10 cited

SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images

Yifei Shi, Junwen Huang, Hongjia Zhang +3

We study the problem of symmetry detection of 3D shapes from single-view RGB-D images, where severely missing data renders geometric detection approach infeasible. We propose an en…