有兴趣的可以直接去阅读代码(据说之后不怎么常用)。 Tensorflow代码:github.com/tkarras/prog Pytorch代码:GitHub - github-pengge/PyTorch-progressive_growing_of_gans: PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation....
最后,代码和网络数据也已经公开,见:tkarras/progressive_growing_of_gans。 可在https://drive.google.com/drive/folders/0B4qLcYyJmiz0MUVMVFEyclJnRmc看到更多高清大图:
The idea of growing GANs progressively is related to the work of Wang et al. (2017), who use multiple discriminators that operate on different spatial resolutions. That work in turn is motivated by Durugkar et al. (2016) who use one generator and multiple discriminators concurrently, and G...
Progressive Growing of GANs for Improved Quality, Stability, and Variation - tkarras/progressive_growing_of_gans
PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION,程序员大本营,技术文章内容聚合第一站。
stddev层，作者觉得Salimanset al. 在论文“Improved techniques for training GANs”中提出“minibatch ...
Progressive Growing of GANs for Improved Quality, Stability, and Variation - stevezhou7020/progressive_growing_of_gans
论文链接:Progressive Growing of GANs for Improved Quality, Stability, and Variation 二、复现精度 参考官方开源的 pytorch 版本代码 https://github.com/facebookresearch/pytorch_GAN_zoo,基于 paddlepaddle 深度学习框架,对文献算法进行复现后,本项目达到的测试精度,如下表所示。 参考文献的最高精度为 CelebA MS-...
2 Progressive growing of GANs Our primary contribution is a training methodology for GANs where we start with low-resolution images, and then progressively increase the resolution by adding layers to the networks as visualized in Figure 1. This incremental nature allows the training to first ...
progressive growing of gans for improved quality, stablity, and variation 前人方法及缺陷 Autoregressive models: PixelCNN 生成清晰的图像,但是评估较慢,而且没有潜在的表示,因为它们直接对像素上的条件分布建模,这可能限制了它们的适用性 variational autoencoders(VAE):训练简单,但是由于模型的限制,产生的模型更模糊...