PoreDiT generates 1024^3 voxel digital rock models via 3D Swin Transformer binary pore-field prediction, matching prior methods on porosity, permeability, and Euler characteristics while running on consumer hardware.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
PoreDiT: A Scalable Generative Model for Large-Scale Digital Rock Reconstruction
PoreDiT generates 1024^3 voxel digital rock models via 3D Swin Transformer binary pore-field prediction, matching prior methods on porosity, permeability, and Euler characteristics while running on consumer hardware.