BriefGPT.xyz
Jan, 2020
CycleGAN核心作为一种主要的齐次空间
Kernel of CycleGAN as a Principle homogeneous space
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Nikita Moriakov, Jonas Adler, Jonas Teuwen
TL;DR
本文针对图像风格迁移的CycleGAN方法,通过理论分析和实验结果,探索图像翻译中自动同构的新奇现象,并得出无法通过寻求最优解来使图像翻译达成目的的结论。
Abstract
Unpaired
image-to-image translation
has attracted significant interest due to the invention of
cyclegan
, a method which utilizes a combination of adversarial and cycle consistency losses to avoid the need for pai
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