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3D Gaussian Splatting typically collapses without dozens of views, but anchoring explicit primitives to statistical shape models unlocks robust volumetric reconstruction from just five X-ray projections.
Expensive iterative 3D-to-2D projection loops are entirely unnecessary for anatomical reconstruction: directly learning cross-dimensional deformation co-variation enables sub-3-second 3D mesh lifting from standard radiographs.
Achieving 92.3% tracking accuracy and cutting structural anomalies by over half, this method transforms how we analyze aortic motion in cardiac MRI.
