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# Table 4 Detailed architecture of UpscaleGAN \(64^{3}\rightarrow 256^{3}\). \(d=64\). The parameter shape of the inception convolution written InConv is too large be written in the table

From: Cosmological *N*-body simulations: a challenge for scalable generative models

Operation | Parameter size | Output shape |
---|---|---|

Generator | ||

Input \(z\,\mathcal{N}(0,1)\) | – | (n,32,32,32,1) |

Input smooth image | – | (n,32,32,32,1) |

Input borders | – | (n,32,32,32,7) |

Concatention | – | (n,32,32,32,9) |

InConv 3D (Sride 1) | * | (n,32,32,32,d) |

LReLu (α = 0.2) | (n,32,32,32,d) | |

InConv 3D (Sride 1) | * | (n,32,32,32,d) |

LReLu (α = 0.2) | (n,32,32,32,d) | |

InConv 3D (Sride 1) | * | (n,32,32,32,d) |

LReLu (α = 0.2) | (n,32,32,32,d) | |

InConv 3D (Sride 1) | * | (n,32,32,32,d) |

LReLu (α = 0.2) | (n,32,32,32,d) | |

InConv 3D (Sride 1) | * | (n,32,32,32,d) |

LReLu (α = 0.2) | (n,32,32,32,d) | |

InConv 3D (Sride 1) | * | (n,32,32,32,d) |

LReLu (α = 0.2) | (n,32,32,32,d) | |

InConv 3D (Sride 1) | * | (n,32,32,32,d) |

LReLu (α = 0.2) | (n,32,32,32,d) | |

InConv 3D (Sride 1) | * | (n,32,32,32,1) |

ReLu | – | (n,32,32,32,1) |

Discriminator | ||

Input generated image | – | (n,32,32,32,1) |

Input borders | – | (n,32,32,32,7) |

Reshape to a cube | – | (n,64,64,64,1) |

Input smooth image | (n,64,64,64,1) | |

Concatenation (+ diff) | (n,64,64,64,3) | |

InConv 3D (Sride 2) | * | (n,32,32,32,2d) |

LReLu (α = 0.2) | (n,32,32,32,2d) | |

InConv 3D (Sride 1) | * | (n,32,32,32,2d) |

LReLu (α = 0.2) | (n,32,32,32,2d) | |

InConv 3D (Sride 1) | * | (n,32,32,32,d) |

LReLu (α = 0.2) | (n,32,32,32,d) | |

InConv 3D (Sride 1) | * | (n,32,32,32,d) |

LReLu (α = 0.2) | (n,32,32,32,d) | |

InConv 3D (Sride 1) | * | (n,32,32,32,d) |

LReLu (α = 0.2) | (n,32,32,32,d) | |

InConv 3D (Sride 1) | * | (n,32,32,32,d) |

LReLu (α = 0.2) | (n,32,32,32,d) | |

InConv 3D (Sride 2) | * | (n,16,16,16,d) |

LReLu (α = 0.2) | (n,16,16,16,d) | |

InConv 3D (Sride 2) | * | (n,8,8,8,d) |

LReLu (α = 0.2) | (n,8,8,8,d) | |

Reshape | – | (n,16384) |

Compute PSD | – | (n,1914) |

Concatenate | – | (n,18298) |

Dense | (18,298,64) | (n,64) |

LReLu (α = 0.2) | (n,64) | |

Dense | (6416) | (n,16) |

LReLu (α = 0.2) | (n,16) | |

Dense | (16,1) | (n,1) |