NeRF Network Architecture

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This is part of my journey of learning NeRF.

2.1. Network Architecture

1. Input Encoding

Similar as NLP, they use position encodings. Like Sinusoid functions. I also remember an encoding method which takes into consider of the 光线的散射

2. Activation functions

ReLU is not perfect for this task. Because it 不能解决对高阶导有constraints的函数。

SIREN is a replacement.

3. Symmetry, Invariance & Equivariance

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