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Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN

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Fig. 1: Overview of AdaIN-style generator for continuous feature disentanglement of generated 3D volume.
Fig. 2: Generated samples using feature disentangled sliceGAN.

Data availability

We use the data as presented in ref. 7. The data are accessible in ref. 10.

Code availability

The code is available at


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This research was funded by the National Research Foundation of Korea grant NRF-2020R1A2B5B03001980. This work was also supported by the Korea Medical Device Development Fund grant funded by the Korea government (the Ministry of Science and ICT, the Ministry of Trade, Industry and Energy, the Ministry of Health & Welfare, the Ministry of Food and Drug Safety) (project number: 1711137899, KMDF_PR_20200901_0015).

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H.C. performed all experiments, wrote the extended code and prepared the manuscript. J.C.Y. supervised the project in conception and discussion and prepared the manuscript.

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Correspondence to Jong Chul Ye.

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The authors declare no competing interests.

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Peer review informationNature Machine Intelligence thanks the anonymous reviewers for their contribution to the peer review of this work.

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Chung, H., Ye, J.C. Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN. Nat Mach Intell 3, 861–863 (2021).

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