The following abbreviations are used to represent various components: • C i : convolution filters with i filters of 5 × 5, 2 pixel zero-padding, stride of 1, dilation of 1 • I : instance normalization • T i,j,k : transpose convolution with i filters of 5×5, 2 pixel zero-padding, stride of j, k pixel output padding, dilation of 1, where kernel and bias are the output of an MLP (described below) • H : reshape to 26 × 256 × 8 × 8 A.2 Network Architecture Our fully-connected encoder is: Our convolutional encoder is: Our fully-connected decoder is: Our transpose convolutional decoder is: MLP to compute a transpose convolutional parameter of size j is:
the font) explaining lower-level visual features such as boldness, texture, and serifs.