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Nov, 2017
IVE-GAN:不变编码生成对抗网络
IVE-GAN: Invariant Encoding Generative Adversarial Networks
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Robin Winter, Djork-Arné Clevert
TL;DR
提出了一种新的“不变编码生成式对抗网络”(IVE-GANs)框架,利用特定数据的不变特征进行逆向映射,使生成器可以涵盖更多数据模式并提升生成效果和表示能力,并在多个数据集上进行了验证。
Abstract
generative adversarial networks
(GANs) are a powerful framework for generative tasks. However, they are difficult to train and tend to miss modes of the true
data generation
process. Although GANs can learn a ric
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