PairDropGS uses paired dropout with low-frequency consistency regularization and progressive scheduling to stabilize and improve sparse-view 3D Gaussian Splatting.
Dwtgs: Rethinking frequency regularization for sparse-view 3d gaussian splatting
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
LGDWT-GS adds local and global discrete wavelet regularization to 3D Gaussian Splatting for sharper, more stable sparse-view reconstructions and releases a multispectral plant dataset with standardized benchmarks.
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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LGDWT-GS: Local and Global Discrete Wavelet-Regularized 3D Gaussian Splatting for Sparse-View Scene Reconstruction
LGDWT-GS adds local and global discrete wavelet regularization to 3D Gaussian Splatting for sharper, more stable sparse-view reconstructions and releases a multispectral plant dataset with standardized benchmarks.