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Regularized Primitive Graph Learning for Unified Vector Mapping
Our key idea is using primitive graph as a unified representation of vector maps and formulating shape regularization and topology reconstruction as primitive graph reconstruction problems that can be solved in the same framework.
Primitive Graph Learning for Unified Vector Mapping
Then, we convert vector shape prediction, regularization, and topology reconstruction into a unique primitive graph learning problem.
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