Residual Gaussian Splatting decomposes the volume into a geometric base and a residual detail component to preserve high-frequency details in ultra sparse-view CBCT without violating physical non-negativity constraints.
Compressed sensing: From research to clinical practice with deep neural networks: Shortening scan times for magnetic resonance imaging
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Residual Gaussian Splatting for Ultra Sparse-View CBCT Reconstruction
Residual Gaussian Splatting decomposes the volume into a geometric base and a residual detail component to preserve high-frequency details in ultra sparse-view CBCT without violating physical non-negativity constraints.