A diffusion transformer with plane position embeddings reconstructs full 3D velocity fields from exact 2D slices of DNS flow data, with the largest accuracy gains on an easy interpolation benchmark.
Neural operator: Graph kernel network for partial differential equations
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Reconstructing 3D Flow from 2D Data with Diffusion Transformer
A diffusion transformer with plane position embeddings reconstructs full 3D velocity fields from exact 2D slices of DNS flow data, with the largest accuracy gains on an easy interpolation benchmark.