A Style-Based Generator Architecture for Generative Adversarial Networks 翻译1&2
A Style-Based Generator Architecture for Generative Adversarial Networks 一个基于样式的用于生成对抗网络的生成器架构 这是一个很重要的关于GAN的文章，StyleGAN模型可以说在这方面是最好的，尤其是在隐空间控制中。该模型使用称为自适应实例归一化（AdaIN）的神经风格转移机制来控制隐空间向量z，而不像之前的其他方式。映射网
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相关文章
- 1. A Style-Based Generator Architecture for Generative Adversarial Networks 翻译3&4
- 2. [Style Transfer]——A Style-Based Generator Architecture for Generative Adversarial Networks
- 3. A Style-Based Generator Architecture for Generative Adversarial Networks---阅读笔记
- 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论文翻译——中英文对照
- 9. ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing 原文翻译
- 10. Graphical Generative Adversarial Networks