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Yakun Ju, Boxin Shi, Bihan Wen

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    |April 2, 2025
    PubMed
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    本研究介绍了FUPS-Net,这是一款用于未校准光度立体 (UPS) 的新型一阶段深度学习网络. 它通过隐式学习使用里埃变换的照明和几何特征,准确地重建非兰伯特物体的3D形状,改进了传统的两阶段方法.

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