PairDropGS uses paired dropout with low-frequency consistency regularization and progressive scheduling to stabilize and improve sparse-view 3D Gaussian Splatting.
Ugod: Uncertainty-guided differen- tiable opacity and soft dropout for enhanced sparse-view 3dgs
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Adapts flat minima optimization to 3DGS via anisotropy-aware perturbations and periodic reinitialization to improve generalization under sparse-view supervision.
citing papers explorer
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PairDropGS: Paired Dropout-Induced Consistency Regularization for Sparse-View Gaussian Splatting
PairDropGS uses paired dropout with low-frequency consistency regularization and progressive scheduling to stabilize and improve sparse-view 3D Gaussian Splatting.
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Improving Sparse-View 3DGS Generalization via Flat Minima Optimization
Adapts flat minima optimization to 3DGS via anisotropy-aware perturbations and periodic reinitialization to improve generalization under sparse-view supervision.