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which gan I should start

Open lmxhappy opened this issue 5 years ago • 4 comments

So many papers about gan. I am a fresh man, I do not know which paper I should begin to read and learn. Anyone else could give some suggestion? Thanks.

lmxhappy avatar May 24 '19 11:05 lmxhappy

Some introductory resources:

  • https://www.youtube.com/watch?time_continue=3&v=-Upj_VhjTBs
  • https://skymind.ai/wiki/generative-adversarial-network-gan
  • https://www.tensorflow.org/alpha/tutorials/generative/dcgan

Then read the papers for the topics you like more :wink:

fcole90 avatar May 24 '19 12:05 fcole90

@lmxhappy I recently had the same issue and I've started a self-study program directed towards Generative Models in general, but I ended up focusing on GANs for now.

You can find my compilation of material, and soon replication of results from a few articles, at https://github.com/dsevero/generative-models

dsevero avatar May 24 '19 15:05 dsevero

So many papers about gan. I am a fresh man, I do not know which paper I should begin to read and learn. Anyone else could give some suggestion? Thanks.

I recently find a good guideline for learning Generative adversarial Network via base articles. I think the below link could help you. I found him in one event in Italy and he suggest me to follow from below link and it was very helpful for me in the first step of GAN papers. In his categorization, The GAN papers was categorize into four level(Definition, Improvement techniques, Implementation and GAN applications): https://ceit.aut.ac.ir/~khalooei/tutorials/gan/ Also, Ian Goodfellow and some of his brilliant collaborators present related topics from the zero to hero level of GANs. That was an interesting workshop which I was participating! The below link could extend previous link via workshop lectures: https://sites.google.com/view/cvpr2018tutorialongans/

cod3r0k avatar May 24 '19 17:05 cod3r0k

I find that your location is Beijing and maybe you are farmiliar with Chinese. So here are some resources in Chinese which I have used to start up. Hung-yi Lee's(李宏毅) courses: http://speech.ee.ntu.edu.tw/~tlkagk/courses_MLDS18.html (Videos are hosted on youtube, while here is a version on bilibili https://www.bilibili.com/video/av24011528?from=search&seid=17873478447681224769)

nobodypengium avatar Nov 02 '19 02:11 nobodypengium