Abstract: Highlights•A domain parameterization method is proposed based on deep learning.•Our method simultaneously parameterize the boundary and interior of a domain.•Our approach produces results with lower distortion and higher bijectivity ratio.•Better boundary correspondence with high accuracy is obtained.
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