Papers › PyFRep: Shape Modeling with Differentiable Function Representation
PyFRep: Shape Modeling with Differentiable Function Representation
Pierre-Alain Fayolle, Evgenii Maltsev
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We propose a framework for performing differentiable geometric modeling based on the Function Representation (FRep). The framework is built on top of modern libraries for performing automatic differentiation allowing us to obtain derivatives w.r.t. space or shape parameters. We demonstrate possible applications of this framework: Curvature estimation for shape interrogation, signed distance function computation and approximation and fitting shape parameters of a parametric model to data. Our framework is released as open-source.
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