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.
ISTA-Net: Interpretable optimization-inspired deep network for image compressive sensing
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.