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Found 2 papers, 2 papers with code
De-homogenization using Convolutional Neural Networks
This paper presents a deep learning-based de-homogenization method for structural compliance minimization.
Shape from Projections via Differentiable Forward Projector for Computed Tomography
In this paper, we propose a differentiable forward model for 3D meshes that bridge the gap between the forward model for 3D surfaces and optimization.
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