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Dec, 2018
生成式最邻近邻域中的非对抗图像合成
Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors
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Yedid Hoshen, Jitendra Malik
TL;DR
本文提出了生成潜在近邻(GLANN)的新方法,以代替不稳定的敌对训练,并比传统的GAN和VAE方法生成的图像质量更好,同时也被证明可以用于非对抗无监督图像翻译。
Abstract
Unconditional
image generation
has recently been dominated by generative adversarial networks (
gans
). GAN methods train a generator which regresses images from random noise vectors, as well as a discriminator tha
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