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‘GAN’ directory

Dif­fu­sion mod­els sup­pos­edly beat GANs be­cause they scale bet­ter and sta­bler. That is un­proven, and false. GANs should be re­vis­ited.

The Big­GAN JFT-300M re­sult is not the only such re­sult, be­cause in 2020, Ten­sor­fork repli­cated the sta­bil­ity of Big­GAN scal­ing on a dataset of n > 100M.

See Also

Gwern

“Research Ideas ”, Gwern 2017

Research Ideas

“GANs Didn’t Fail, They Were Abandoned ”, Gwern 2022

GANs Didn’t Fail, They Were Abandoned

Miscellaneous