Researchers have developed GeoTopoDiff, a novel graph diffusion-based framework designed to reconstruct 3D porous microstructures from sparse CT slices. This approach shifts diffusion prior learning from a voxel space to a mixed graph state space, enabling simultaneous modeling of pore geometry and topology. Experiments on PTFE and Fontainebleau sandstone demonstrated significant reductions in morphology and transport errors, suggesting improved posterior uncertainty under sparse observations. AI
影响 Introduces a new method for 3D reconstruction from sparse data, potentially improving simulations in materials science and engineering.
排序理由 This is a research paper detailing a new framework for 3D reconstruction.
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