A Style-Based Generator Architecture for Generative Adversarial Networks 翻譯1&2
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