A shape optimization framework using implicit neural representations, positional encoding, and Lipschitz regularization enables multi-objective design with datasets as small as two 3D models.
Munoz-Paniagua, J
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Three-dimensional Deep Shape Optimization with a Limited Dataset
A shape optimization framework using implicit neural representations, positional encoding, and Lipschitz regularization enables multi-objective design with datasets as small as two 3D models.