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cs.CV2025

CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition

Wenpeng Xing, Jie Chen, Zaifeng Yang +5

Neural Radiance Fields (NeRF) have shown impressive performance in novel view synthesis, but challenges remain in rendering scenes with complex specular reflections and highlights.…

cs.CV2025

UW-3DGS: Underwater 3D Reconstruction with Physics-Aware Gaussian Splatting

Wenpeng Xing, Jie Chen, Zaifeng Yang +5

Underwater 3D scene reconstruction faces severe challenges from light absorption, scattering, and turbidity, which degrade geometry and color fidelity in traditional methods like N…

cs.CV2025

Learning Physics-Informed Color-Aware Transforms for Low-Light Image Enhancement

Xingxing Yang, Jie Chen, Zaifeng Yang

Image decomposition offers deep insights into the imaging factors of visual data and significantly enhances various advanced computer vision tasks. In this work, we introduce a nov…

cs.CV2023

Multi-scale Progressive Feature Embedding for Accurate NIR-to-RGB Spectral Domain Translation

Xingxing Yang, Jie Chen, Zaifeng Yang

NIR-to-RGB spectral domain translation is a challenging task due to the mapping ambiguities, and existing methods show limited learning capacities. To address these challenges, we…

cs.CV2023

Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross-Channel Spatio-Spectral Clues

Xingxing Yang, Jie Chen, Zaifeng Yang

Existing learning-based hyperspectral reconstruction methods show limitations in fully exploiting the information among the hyperspectral bands. As such, we propose to investigate…