BriefGPT.xyz
Jun, 2021
GAN鸡尾酒:无需访问数据集混合GAN
GAN Cocktail: mixing GANs without dataset access
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Omri Avrahami, Dani Lischinski, Ohad Fried
TL;DR
该论文提出了一种能够将两个或更多的预训练生成模型通过两个阶段的技术(模型根插和平均权重)以及微调组合为一个统一的模型的方法,应用于域自适应中。
Abstract
Today's
generative models
are capable of synthesizing high-fidelity images, but each model specializes on a specific target domain. This raises the need for
model merging
: combining two or more pretrained
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