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大家对最近新出来的Glow生成模型怎么看？有深入研究的必要吗？ - 知乎 而Glow这些流模型首先考虑是生成模型的分布是否能够拟合真实的训练数据的分布，其次才是生成图像的质量。 各位可以看看《Flow-GAN_ Combining Maximum Likelihood and Adversarial Learning in Generative Models》这篇文章，这篇文章就从实验上说明了对抗学习的结果在拟合分布上
大家对最近新出来的Glow生成模型怎么看？有深入研究的必要吗？ - 知乎 Glow is a reversible model, so its encoder and decoder are the same But the input end of the encoder and that of the decoder are different In detail, Glow consists of a series of steps of flow, combined in a multi-scale architecture