5 papers
Spatial-Frequency-Aware Implicit Neural Representation of Multidimensional Signals via MLP-KAN Fusion
Wen Yan, Ligen Shi, Jun Qiu +3
Implicit Neural Representations (INRs) have emerged as a compelling paradigm for modeling multidimensional signals by mapping continuous coordinates to signal values. However, Mult…
Fast Implicit Neural Light Field Representation via Geometric Decomposition and Multi-Resolution Low-Rank Features
Yao Guo, Ligen Shi, Shuchen Sun +2
Implicit neural representations provide a compact and continuous way to reconstruct dense light fields from sampled ray coordinates. However, fast light field reconstruction remain…
Frequency-Decomposed INR for NIR-Assisted Low-Light RGB Image Denoising
Ligen Shi, Zengyu Pang, Chang Liu +2
Addressing the issues of severe noise and high frequency structural degradation in visible images under low-light conditions, this paper proposes a Near Infrared (NIR) aided low li…
Adaptive Local Frequency Filtering for Fourier-Encoded Implicit Neural Representations
Ligen Shi, Jun Qiu, Yuhang Zheng +2
Fourier-encoded implicit neural representations (INRs) have shown strong capability in modeling continuous signals from discrete samples. However, conventional Fourier feature mapp…
NeuralPVS: Learned Estimation of Potentially Visible Sets
Xiangyu Wang, Thomas Köhler, Jun Lin Qiu +3
Real-time visibility determination in expansive or dynamically changing environments has long posed a significant challenge in computer graphics. Existing techniques are computatio…