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article · Journal of Visual Communication and Image Representation · 2022

ACGAN: Attribute controllable person image synthesis GAN for pose transfer

Shaoyue Lin, YanJun Zhang

Cited by 2Abstract and details only

Abstract

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Cite this paper

APA 7

Lin, S., & Zhang, Y. (2022). ACGAN: Attribute controllable person image synthesis GAN for pose transfer. Journal of Visual Communication and Image Representation, 87, 103572. https://doi.org/10.1016/j.jvcir.2022.103572

MLA 9

Lin, Shaoyue, and YanJun Zhang. “ACGAN: Attribute controllable person image synthesis GAN for pose transfer.” Journal of Visual Communication and Image Representation, vol. 87, 2022, p. 103572, https://doi.org/10.1016/j.jvcir.2022.103572.

Chicago

Lin, Shaoyue, and YanJun Zhang. 2022. “ACGAN: Attribute controllable person image synthesis GAN for pose transfer.” Journal of Visual Communication and Image Representation 87: 103572. https://doi.org/10.1016/j.jvcir.2022.103572.

Harvard

Lin, S. and Zhang, Y. (2022) ‘ACGAN: Attribute controllable person image synthesis GAN for pose transfer’, Journal of Visual Communication and Image Representation, 87, p. 103572. Available at: https://doi.org/10.1016/j.jvcir.2022.103572.

BibTeX
@article{lin2022acgan,
  title = {{ACGAN: Attribute controllable person image synthesis GAN for pose transfer}},
  author = {Lin, Shaoyue and Zhang, YanJun},
  journal = {Journal of Visual Communication and Image Representation},
  volume = {87},
  pages = {103572},
  year = {2022},
  doi = {10.1016/j.jvcir.2022.103572}
}

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