[引用][C] Progressive Growing of GANs for Improved Quality, Stability, and Variation
T Karras - arXiv preprint arXiv:1710.10196, 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation
T Karras, T Aila, S Laine, J Lehtinen - International Conference on …, 2018 - research.aalto.fi
We describe a new training methodology for generative adversarial networks. The key idea
is to grow both the generator and discriminator progressively: starting from a low resolution …
is to grow both the generator and discriminator progressively: starting from a low resolution …
Progressive Growing of GANs for Improved Quality, Stability, and Variation
T Karras, T Aila, S Laine, J Lehtinen - International Conference on …, 2018 - openreview.net
We describe a new training methodology for generative adversarial networks. The key idea
is to grow both the generator and discriminator progressively: starting from a low resolution …
is to grow both the generator and discriminator progressively: starting from a low resolution …
Progressive Growing of GANs for Improved Quality, Stability, and Variation
T Karras, T Aila, S Laine, J Lehtinen - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
We describe a new training methodology for generative adversarial networks. The key idea
is to grow both the generator and discriminator progressively: starting from a low resolution …
is to grow both the generator and discriminator progressively: starting from a low resolution …
[引用][C] Progressive growing of GANs for improved quality, stability, and variation
T Karras - arXiv preprint, 2017 - cir.nii.ac.jp
Progressive growing of GANs for improved quality, stability, and variation | CiNii Research
CiNii 国立情報学研究所 学術情報ナビゲ恁縖サイニィ] 詳細へ移動 検索フォ恁啶匾動 論文·デ恁郡 …
CiNii 国立情報学研究所 学術情報ナビゲ恁縖サイニィ] 詳細へ移動 検索フォ恁啶匾動 論文·デ恁郡 …
Progressive Growing of GANs for Improved Quality, Stability, and Variation
T Karras, T Aila, S Laine, J Lehtinen - International Conference on …, 2018 - openreview.net
We describe a new training methodology for generative adversarial networks. The key idea
is to grow both the generator and discriminator progressively: starting from a low resolution …
is to grow both the generator and discriminator progressively: starting from a low resolution …