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Preprint Oct 2026

Spatial-Frequency-Aware Implicit Neural Representation of Multidimensional Signals via MLP-KAN Fusion

Implicit Neural Representations (INRs) have emerged as a compelling paradigm for modeling multidimensional signals by mapping continuous coordinates to signal values. However, Multi-Layer Perceptrons (MLP)-based INRs inherently suffer from spectral bias, which favors low-frequency components and suppresses the reconstr...

Wen Yan, Li-Gen Shi, Jun Qiu et al. · 0 citations
2026

Multiresolution Infrared and Visible Image Fusion via Implicit Neural Representations

Dual-spectral measurement instruments integrate complementary thermal radiation and textural information, thereby alleviating the information acquisition limitations of single-modality sensors. Due to detector manufacturing constraints and hardware cost, the infrared sensors usually provide lower spatial sampling rates...

Shu-Chen Sun, Li-Gen Shi, Jun Qiu et al. · 0 citations
Conference Open access Jul 2026

Fast Implicit Neural Light Field Representation via Geometric Decomposition and Multi-Resolution Low-Rank Features

A fast implicit light field representation based on geometric decomposition and multi-resolution low-rank features that achieves competitive reconstruction quality while providing a better trade-off among model parameters, training time, and inference efficiency is proposed.

Yaowei Guo, Li-Gen Shi, Shu-Chen Sun et al. · 0 citations
Preprint Jul 2026

Joint-decoupled iterative CBCT reconstruction with hybrid scatter estimation and voxel-adaptive beam hardening correction

A physics-driven iterative framework rooted in the polychromatic Polyquant attenuation model is proposed, which decouples scatter and beam hardening artifacts by establishing an optimization loop between scatter estimation and relative electron density (RED) reconstruction.

Jia-Ning Sun, J. Létang, Qixiang Sun et al. · 0 citations

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