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PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION Tero Karras
時間 2020-12-30
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論文爲:PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION 摘要: 1.提出了一種新的訓練對抗神經網絡的方法。核心思想是逐步訓練生成器和分別器:從低分辨率開始,隨着訓練進程推進,逐步增加新的層來提煉細節。這種方法不僅加快了訓練速度並且更加穩定,可以產生高質量的圖像 2.提出了一些實施的細節對於消除生成
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相關文章
1.
PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION
2.
PROGRESSIVE GROWING OF GANs for IMPROVED QUALITY, STABILITY AND VARIATION
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Reading Note: Progressive Growing of GANs for Improved Quality, Stability, and Variation
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《PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION》論文筆記
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