AI RESEARCH
Generative Prior-Guided Neural Interface Reconstruction for 3D Electrical Impedance Tomography
arXiv CS.CV
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ArXi:2505.16487v2 Announce Type: replace-cross Reconstructing complex 3D interfaces from indirect measurements remains a grand challenge in scientific computing, particularly for ill-posed inverse problems like Electrical Impedance Tomography (EIT). Traditional shape optimization struggles with topological changes and regularization tuning, while emerging deep learning approaches often compromise physical fidelity or require prohibitive amounts of paired