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Feature disentanglement in generating a three dimensional structure from a two-dimensional slice with slice gan

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Chung Hyung Jin

Nature Machine Intelligence 2021

Engineering
1 of 8
Reusability report: Feature disentanglement in generating a three-dimensional structure from a two- dimensional slice with sliceGAN Hyungjin Chung and Jong Chul Ye Hyungjin Chung
Introduction
Introduction: SliceGAN • Generate 3D data from a single 2D image • Applicable for simulation in material science Kench et al. 2021
Introduction: SliceGAN • Single network trained per image • Able to generate 3D material with specific characteristic • Cannot control the features of the generated volume Kench et al. 2021
Methods
Methods: AdaIN • Adaptive Instance Normalization (AdaIN) for feature disentanglement • Interpolation of the given parameter possible
Results
Results • 2D images used to train the network • Generated 3D volumes

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