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A Style-Based Generator Architecture for Generative Adversarial Networks 翻譯1&2
時間 2020-12-23
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深度學習
CNN
GAN
styleGAN
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A Style-Based Generator Architecture for Generative Adversarial Networks 一個基於樣式的用於生成對抗網絡的生成器架構 這是一個很重要的關於GAN的文章,StyleGAN模型可以說在這方面是最好的,尤其是在隱空間控制中。該模型使用稱爲自適應實例歸一化(AdaIN)的神經風格轉移機制來控制隱空間向量z,而不像之前的其他方式。映射網
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相關文章
1.
A Style-Based Generator Architecture for Generative Adversarial Networks 翻譯3&4
2.
[Style Transfer]——A Style-Based Generator Architecture for Generative Adversarial Networks
3.
A Style-Based Generator Architecture for Generative Adversarial Networks---閱讀筆記
4.
style-GAN:A Style-Based Generator Architecture for Generative Adversarial Networks. (一)
5.
Binary Generative Adversarial Networks for Image Retrieval
6.
Generative Adversarial Networks for Hyperspectral Image Classification
7.
CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
8.
ESRGAN - Enhanced Super-Resolution Generative Adversarial Networks論文翻譯——中英文對照
9.
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing 原文翻譯
10.
Graphical Generative Adversarial Networks
>>更多相關文章<<