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Mar, 2022
可靠的少样本图像生成的属性组编辑
Attribute Group Editing for Reliable Few-shot Image Generation
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Guanqi Ding, Xinzhe Han, Shuhui Wang, Shuzhe Wu, Xin Jin...
TL;DR
本研究提出了一种新的基于属性组编辑方法的少样本图像生成技术,通过对属性进行编辑,该方法可以生成更为逼真和多样的图像,并具有可解释的全局属性方向性。
Abstract
few-shot image generation
is a challenging task even using the state-of-the-art
generative adversarial networks
(GANs). Due to the unstable GAN training process and the limited training data, the generated images
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