To Top
首页 > 常用链接 > 正文

【置顶】导引——gan论文集合

标签:gan论文集合, fid, ls-gan, wgan, lpgan, infogan, improvedgan, dcgan, seqgan, irgan, biggan, treegan, stackgan, cyclegan, deblurgan, txt2img, vq-vae, tf-gan, gan剪枝, gan pruning, autogan, gan-tts


目录

框架

tf-gan

https://daiwk.github.io/posts/platform-tf-gan.html

基本原理

度量方法

学习GAN模型量化评价,先从掌握FID开始吧

basic gan

https://daiwk.github.io/posts/image-gan.html

gan landscape

https://daiwk.github.io/posts/cv-gan-overview.html

gan with the wind

https://daiwk.github.io/posts/cv-gan-with-the-wind.html

gan推导

https://daiwk.github.io/posts/cv-gan-theories.html

对抗样本含义

你真的懂对抗样本吗?一文重新思考对抗样本背后的含义

gan剪枝

https://daiwk.github.io/posts/cv-gan-pruning.html

cv

ls-gan

https://daiwk.github.io/posts/image-lsgan.html

wgan

https://daiwk.github.io/posts/image-wgan.html

lapgan

https://daiwk.github.io/posts/image-lapgan.html

infogan & improvedgan

https://daiwk.github.io/posts/image-infogan-improvedgan.html

dcgan

https://daiwk.github.io/posts/image-dcgan.html

BigGAN+BigGAN-deep+BigBiGAN

https://daiwk.github.io/posts/cv-biggan.html

TreeGAN

https://daiwk.github.io/posts/nlp-treegan.html

stackGAN

https://daiwk.github.io/posts/cv-stackgan.html

cycleGAN

https://daiwk.github.io/posts/cv-cyclegan.html

deblurGAN

https://daiwk.github.io/posts/cv-deblurgan.html

VQ-VAE

https://daiwk.github.io/posts/cv-vq-vae.html

nlp

seqgan

https://daiwk.github.io/posts/rl-seqgan.html

搜索与推荐

irgan

https://daiwk.github.io/posts/rl-irgan.html

GAN-CDQN

https://daiwk.github.io/posts/dl-gan-rl-recommend.html

rsgan

https://daiwk.github.io/posts/dl-rsgan.html

多模态

txt2img

https://daiwk.github.io/posts/cv-gan-txt2img.html

automl

autoGAN

https://daiwk.github.io/posts/cv-autogan.html

audio

gan-tts

https://daiwk.github.io/posts/audio-gan-tts.html


原创文章,转载请注明出处!
本文链接:http://daiwk.github.io/posts/links-navigation-gan.html
上篇: video caption
下篇: 【置顶】导引——图相关

comment here..