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(22)[NIPS16] PixelCNN:Conditional Image Generation with PixelCNN Decoders
時間 2020-01-31
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計劃完成深度學習入門的126篇論文第二十一篇,DeepMind的Alex Graves等領導研究一種新的生成Image模型。 ABSTRACT&INTRODUCTION 摘要 本工做探索了基於PixelCNN結構的條件圖像生成新圖像密度模型。該模型能夠以任何向量爲條件,包括描述性標籤或標記,或由其餘網絡建立的潛在嵌入。當以ImageNet數據庫中的類標籤爲條件時,該模型可以生成表明不一樣動物、對象
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相關文章
1.
《Conditional Image Generation with PixelCNN Decoders》之Pixcel CNN---gated Pixcel CNN 閱讀筆記
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如何比較PixelCNN與DCGAN兩種Image generation方法?
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