A solver-in-the-loop method combines a differentiable neural shape prior with a hard-constrained boundary integral equation solver to reconstruct 3D interfaces in EIT while enforcing the governing elliptic PDE at every step.
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Generative Prior-Guided Neural Interface Reconstruction for 3D Electrical Impedance Tomography
A solver-in-the-loop method combines a differentiable neural shape prior with a hard-constrained boundary integral equation solver to reconstruct 3D interfaces in EIT while enforcing the governing elliptic PDE at every step.