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"GAN Dissection: Visualizing and Understanding Generative Adversarial Networks."

David Bau et al. (2019)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2019-07-25

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  - electronic edition @ openreview.net (open access)
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  dblp key:
  - conf/iclr/BauZSZTFT19
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  persistent URL:
  - https://dblp.org/rec/conf/iclr/BauZSZTFT19
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. ICLR (Poster) 2019

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