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PairDropGS: Paired Dropout-Induced Consistency Regularization for Sparse-View Gaussian Splatting
Dropout-based sparse-view 3D Gaussian Splatting (3DGS) methods alleviate overfitting by randomly suppressing Gaussian primitives during training. Existing methods mainly focus on designing increasingly sophisticated dropout strategies, while they overlook the resulting inconsistencies among differen
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