Implementation of two phase field approaches for the surface reconstruction problem and shape space learning. One based of the Modica-Mortola theorem and the other based on Ambrosio-Tortorelli
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Updated
Apr 1, 2023 - Python
Implementation of two phase field approaches for the surface reconstruction problem and shape space learning. One based of the Modica-Mortola theorem and the other based on Ambrosio-Tortorelli
Neural Networks tend to overfit. One way to overcome this problem is by considering a sequence of optimization problems, where we modify the loss function so that we minimize the distance to the previous solution in every step.
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