3 papers
cs.CV2026
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…
cs.CV2026
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…
cs.CV2026
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…