mit-han-lab / anycost-gan

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
https://hanlab.mit.edu/projects/anycost-gan/
MIT License
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关于encoder的训练 #3

Closed zhaoyk1986 closed 3 years ago

zhaoyk1986 commented 3 years ago

您好,感谢分享。 有一些不太理解的地方,希望能解答。

encoder, generator, discriminator的训练流程是怎样的? 我猜测是 先discriminator, generator训练完成后, 使用generator来训练encoder。这种流程,encoder是不会影响generator。 那么是否可以三个模型一起训练。互相影响,达到最优。

tonylins commented 3 years ago

Hi, we first jointly train the generator and discriminator (conventional GAN training), and then train the encoder for the fixed generator. Co-optimizing D, G, and E may bring some benefits, but it is beyond the scope of our paper.

Best, Ji

tonylins commented 3 years ago

I will close the issue now due to inactivity. Feel free to reopen if you have other questions.