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YinYang-GAN: Phase Lock + Constructionism + GAN + Cross-Modality + Iterative Inference

structure illustration:

\[x_i \in P_i, i=0,1,...,M;\] \(x_i\):sample, \(P\):pattern space, \(M\):number of spaces.

\[\hat{x}_i = G_i(x_i) = EC_i(DC_i(x_i));\] \(DC\): decoder, \(EC\): encoder, \(G\): generator.

\[D_i(x_i, \hat{x}_i) \in \{0,1\};\] \(\hat{x}_i\):generated sample, \(D_i\):discriminator.

\[z_i = DC_i(x_i);\] \(z_i\): latent code decoded from \(x_i\) with \(DC_i\).

\[z'_i = \sum_{j\neq{i}}{T_{ji}(T_{ij}(z_i))};\] \(T_{ji}\):Translator from \(j\) to \(i\).

\[\hat{x'}_i = EC_i(z'_i);\] \(z'_i\):combined latent code, \(\hat{x'}_i\):final output.

\[\frac{\partial{D_i(x_i, \hat{x'}_i)}}{\partial{z_i}}.\] Differential to optimize on \(z_i\).

YinYang-GAN

标签：dal   math   min   rac   from   ros   hat   struct   inline   

原文地址：https://www.cnblogs.com/thisisajoke/p/12054290.html