A plain-words guide to FIGConvUNet — NVIDIA’s Factorized Implicit Global Convolution U-Net. It approximates a high-resolution 3D domain with factorized implicit grids and runs global convolutions by re-expressing the 3D grid as stacks of cheap 2D planes, dropping the cost from cubic to quadratic.
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The monograph lives at its own URL in the warm-paper layout, with block diagrams, a flowchart, practical notes, and references in plain words. It cross-links to the other two geometry-surrogate posts and the PhysicsNeMo field guide.
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