BriefGPT.xyz
Aug, 2020
跨领域生成对抗网络:无监督多领域图像翻译
Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation
HTML
PDF
Xuewen Yang, Dongliang Xie, Xin Wang
TL;DR
提出了一种无监督的图像翻译框架,使用一对编码器加上一对生成对抗网络来提取不同域之间的高级特征以生成逼真的多样化样本。该框架在许多图像转化任务上展示出与最先进技术相竞争的结果。
Abstract
State-of-the-art techniques in
generative adversarial networks
(GANs) have shown remarkable success in
image-to-image translation
from peer domain X to domain Y using paired image data. However, obtaining abundan
→