Learning to Discover Cross-Domain Relations with Generative Adversarial Networks - 代码天地

Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

其他 2020-02-20 18:17:27 阅读次数: 0

目的：提出一个基于GAN的网络框架来学习发现跨域关系（cross-domain relation），把寻找这种关系变成了用一种风格的图片生成另一种风格。

模型：

左边标准GAN,右边带有重建损失的GAN.

DiscoGAN：

猜你喜欢

转载自www.cnblogs.com/wjjcjj/p/12336691.html

Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

Learning to discover cross-domain relations with gan

AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks

UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS

Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks(DCGAN)

DCGAN：Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

DCGAN:Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks论文

论文阅读——《Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks》

Generative Adversarial Networks

Triangle Generative Adversarial Networks

UNROLLED GENERATIVE ADVERSARIAL NETWORKS

[论文阅读] Generative Adversarial Networks for Video-to-Video Domain Adaptation

Understanding Generative Adversarial Networks (GAN)

CONSISTENCY REGULARIZATION FOR GENERATIVE ADVERSARIAL NETWORKS

论文学习:Learning to Generate Time-Lapse Videos Using Multi-StageDynamic Generative Adversarial Networks

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 论文阅读笔记

DC-GAN：Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Semi-Supervised Learning with Generative Adversarial Networks（小白学GAN 七）

【论文笔记】Generative Adversarial Networks

Visual Saliency Prediction with Generative Adversarial Networks

BEGAN: Boundary Equilibrium Generative Adversarial Networks的理解

Bayesian Generative Adversarial Networks in Tensorflow DOC

GAN开山之作: Generative Adversarial Networks

A Beginner's Guide to Generative Adversarial Networks (GANs)

FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS

如何评价Generative Adversarial Networks的Performance？

LSGAN (Least Squares Generative Adversarial Networks)

Generative Adversarial Networks: An Overview文献阅读笔记

Speech Bandwidth Extension Using Generative Adversarial Networks

DCGANs (Deep Convolutional Generative Adversarial Networks)

今日推荐

TIOBE 5 月榜单：Fortran “复活”进入 Top 10

GCC 14.1 发布

面壁智能发布 Eurux-8x22B 开源大模型 —— 堪称「理科状元」

开源日报 | 谷歌扶持鸿蒙上位；开源Rabbit R1；Docker加持的安卓手机；微软的焦虑和野心；海尔电器把开放平台关了

中国码农的“35岁魔咒”

蘭雅 CorelDRAW 插件 2024.5.1 国际劳动节版，免费下载

Arc Browser for Windows 1.0 正式 GA

90后程序员开发视频搬运软件、不到一年获利超 700 万，结局很刑！

周排行

基本数据类型封装类比较 Java源码解读(一) 8种基本类型对应的封装类型

JS实现无缝滚动上

深入解析HashMap原理（基于JDK1.8）

mysql的连接池

关于.htc

linux下的ubuntu12.04图形界面

【数论】好推不好记的扩展欧几里德

设备树详解

cscope + tags 简单设置

xml学习

每日归档

更多

2024-05-09(35)

2024-05-08(42)

2024-05-07(14)

2024-05-06(40)

2024-05-05(0)

2024-05-04(7)

2024-05-03(19)

2024-05-02(0)

2024-05-01(4)

2024-04-30(1)