BriefGPT.xyz
Jun, 2019
交叉变分自编码器实现手写模式的模态转换
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders
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Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida
TL;DR
本研究尝试构建一个网络以将在线和离线手写字符相互转换。该网络由两个变分自编码器（VAEs）组成，具有共享的潜在空间，通过提出的Cross-VAE方法相互转换在线和离线手写字符成为可能。
Abstract
This research attempts to construct a network that can convert online and offline
handwritten characters
to each other. The proposed network consists of two
variational auto-encoders
(VAEs) with a shared
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