readme.zh.json

{
 "<h1><a href=\"https://nn.labml.ai/gan/stylegan/index.html\">StyleGAN 2</a></h1>\n<p>This is a <a href=\"https://pytorch.org\">PyTorch</a> implementation of the paper  <a href=\"https://arxiv.org/abs/1912.04958\">Analyzing and Improving the Image Quality of StyleGAN</a>  which introduces <strong>StyleGAN2</strong>. StyleGAN 2 is an improvement over <strong>StyleGAN</strong> from the paper  <a href=\"https://arxiv.org/abs/1812.04948\">A Style-Based Generator Architecture for Generative Adversarial Networks</a>. And StyleGAN is based on <strong>Progressive GAN</strong> from the paper  <a href=\"https://arxiv.org/abs/1710.10196\">Progressive Growing of GANs for Improved Quality, Stability, and Variation</a>. All three papers are from the same authors from <a href=\"https://twitter.com/NVIDIAAI\">NVIDIA AI</a>. </p>\n": "<h1><a href=\"https://nn.labml.ai/gan/stylegan/index.html\">StyleGan 2</a></h1>\n<p>\u8fd9\u662f\u300a<a href=\"https://arxiv.org/abs/1912.04958\">\u5206\u6790\u548c\u63d0\u9ad8 StyleGan \u7684\u56fe\u50cf\u8d28\u91cf\u300b</a><a href=\"https://pytorch.org\">\u4e00\u6587\u7684 PyTorch</a> \u5b9e\u73b0\uff0c\u8be5\u8bba\u6587\u4ecb\u7ecd\u4e86 <strong>StyleGan2</strong>\u3002StyleGan 2 \u662f\u5bf9\u8bba\u6587\u300a\u751f\u6210<a href=\"https://arxiv.org/abs/1812.04948\">\u5bf9\u6297\u7f51\u7edc\u7684\u57fa\u4e8e\u6837\u5f0f\u7684\u751f\u6210\u5668\u67b6\u6784\u300b\u4e2d\u5bf9</a> <strong>StyleG</strong> an \u7684\u6539\u8fdb\u3002StyleG <strong>an \u57fa\u4e8e\u8bba\u6587\u300a\u9010\u6b65</strong><a href=\"https://arxiv.org/abs/1710.10196\">\u751f\u957f GaN \u4ee5\u63d0\u9ad8\u8d28\u91cf\u3001\u7a33\u5b9a\u6027\u548c\u53d8\u5f02\u6027\u300b\u4e2d\u7684\u6e10\u8fdb\u5f0f GAN</a>\u3002\u8fd9\u4e09\u7bc7\u8bba\u6587\u5747\u51fa\u81ea <a href=\"https://twitter.com/NVIDIAAI\">NVIDIA AI</a> \u7684\u540c\u4e00\u4f4d\u4f5c\u8005\u3002</p>\n",
 "StyleGAN 2": "StyleGan 2"
}