Skip to content

ccc013/GAN_Study

Repository files navigation

GAN_Study

学习GAN的笔记和代码

The original code address

tensorflow-generative-model-collections

Papers

简单总结一些看过或者待看的论文,相应的代码,学习笔记,文章等。

First paper for GAN

参考文章:

待分类

GAN Theory

高质量图片生成

DCGAN

  • []Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks[Paper][Tensorflow--code](ICLR 2016)

其他代码:

学习笔记:

相关文章:

Super-Resolution

  • (ECCV 2018)ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks[paper][code]

相关介绍文章:

Inpainting

Project

工具

  • 谷歌开源的 TFGAN 库[[original article]](Generative Adversarial Networks: Google open sources TensorFlow-GAN (TFGAN))[Github]
  • 基于 Pytorch 的 TorchGAN[Github]

综合文章

Github

  1. 复现多种 GANs 模型[Tensorflow-version][Pytorch][Keras]
  2. tensorflow-GANs--结合了多种现在的GAN代码,部分有中文注释的Github
  3. AdversarialNetsPapers--及时更新,而且对论文进行分类
  4. The-gan-zoo

文章

  1. 干货 | 深入浅出 GAN·原理篇文字版(完整)
  2. 微软剑桥研究院153页最新GAN教程--github:https://github.com/nowozin/mlss2018-madrid-gan

About

学习GAN的笔记和代码

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages