《PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION》论文笔记
PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION 简介 论文主要针对GAN训练不稳定以及训练速度慢提出一种训练方法：训练过程中图像分辨率逐渐升高，同时网络层逐渐增加。 对于高分辨率图像，可能生成器所生成的图片与原始图片差距很大，很容易区分，那么在优化时，梯度很可能指向一个随机的方向，就会带来麻烦。在
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相关文章
- 1. PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION
- 2. PROGRESSIVE GROWING OF GANs for IMPROVED QUALITY, STABILITY AND VARIATION
- 3. PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION Tero Karras
- 4. PGGAN(2018)：Progressive Growing of GANs for Improved Quality, Stability, and Variation
- 5. Reading Note: Progressive Growing of GANs for Improved Quality, Stability, and Variation
- 6. 《FutureGAN: Anticipating the Future Frames of Video Sequences using ……》论文笔记
- 7. 【阅读笔记】Improved Training of Wasserstein GANs
- 8. Perceptual Quality Assessment of Smartphone Photography(论文笔记)
- 9. Analyzing and Improving the Image Quality of StyleGAN论文解读笔记
- 10. Improved Techniques for Training GANs