Abstract: Highlights•A meta-learning-based 3D point signature generation for 3d shape geometry learning.•A theoretical proof justifying the necessity of the meta-learning process.•A bi-level optimiaztion framework to instantiate the 3D meta point signature learning.•Evaluation of meta point signature on 3D shape correspondence and part segmentation.
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