Multi-level DWT frequency modulation in 3DGS reduces Gaussian counts by recursive low-frequency decomposition and a single scaling parameter while preserving rendering quality.
Dwtnerf: Boosting few-shot neural radiance fields via discrete wavelet transform
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
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
-
Learnable Multi-level Discrete Wavelet Transforms for 3D Gaussian Splatting Frequency Modulation
Multi-level DWT frequency modulation in 3DGS reduces Gaussian counts by recursive low-frequency decomposition and a single scaling parameter while preserving rendering quality.
-
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.