5 papers
Learnable Multi-level Discrete Wavelet Transforms for 3D Gaussian Splatting Frequency Modulation
Hung Nguyen, An Le, Truong Nguyen
3D Gaussian Splatting (3DGS) has emerged as a powerful approach for novel view synthesis. However, the number of Gaussian primitives often grows substantially during training as fi…
WaveletGaussian: Wavelet-domain Diffusion for Sparse-view 3D Gaussian Object Reconstruction
Hung Nguyen, Runfa Li, An Le +1
3D Gaussian Splatting (3DGS) has become a powerful representation for image-based object reconstruction, yet its performance drops sharply in sparse-view settings. Prior works addr…
DWTGS: Rethinking Frequency Regularization for Sparse-view 3D Gaussian Splatting
Hung Nguyen, Runfa Li, An Le +1
Sparse-view 3D Gaussian Splatting (3DGS) presents significant challenges in reconstructing high-quality novel views, as it often overfits to the widely-varying high-frequency (HF)…
DWTNeRF: Boosting Few-shot Neural Radiance Fields via Discrete Wavelet Transform
Hung Nguyen, Blark Runfa Li, Truong Nguyen
Neural Radiance Fields (NeRF) has achieved superior performance in novel view synthesis and 3D scene representation, but its practical applications are hindered by slow convergence…
From Coarse to Fine: Learnable Discrete Wavelet Transforms for Efficient 3D Gaussian Splatting
Hung Nguyen, An Le, Runfa Li +1
3D Gaussian Splatting has emerged as a powerful approach in novel view synthesis, delivering rapid training and rendering but at the cost of an ever-growing set of Gaussian primiti…