Channy's blog

//Description: GAN

//Create Date: 2022-01-24 17:28:39

//Author: channy

An Introduction to Image Synthesis with Generative Adversarial Nets

概述

GAN

原始GAN,输出仅依赖于随机噪声G(z)

CGAN

给输入增加条件G(c, z)

DCGAN

原始GAN的G和D换成CNN

pix2pix

DCGAN (深度卷积GAN)

ACGAN (辅助分类器GAN)

在CGAN的基础上增加分类器

WGAN

使用 Wasserstein 距离来测量真实数据分布与学习分布之间的相似性,而不是像原始 GAN 那样使用 Jensen-Shannon 散度。

CycleGAN and DualGAN

双向转换,G_ab和G_ba,D_a和D_b

The GAN Zoo

You can also check out the same data in a tabular format with functionality to filter by year or do a quick search by title here.

Contributions are welcome. Add links through pull requests in gans.tsv file in the same format or create an issue to lemme know something I missed or to start a discussion.

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