We describe in this short note a technique to convert an implicit surface into a Signed Distance Function (SDF) while exactly preserving the zero level-set of the implicit. The proposed approach relies on embedding the input implicit in the final layer of a neural network, which is trained to minimize a loss function characterizing the SDF.

中文翻译：

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隐曲面的符号距离函数计算

我们在此简短说明中描述了一种将隐式曲面转换为符号距离函数（SDF）的技术，同时精确保留了隐式曲面的零水平集。所提出的方法依赖于将隐式输入嵌入神经网络的最后一层，该层经过训练可最大程度地减少表征SDF的损失函数。