Can I read SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation on EtoBox?

SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation by Shao, Xuning; Zhang, Weidong is a scholarly article available to read on EtoBox.

What is SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation about?

For unsupervised image-to-image translation, we propose a discriminator architecture which focuses on the statistical features instead of individual patches. The network is stabilized by distribution matching of key statistical features at multiple scales. Unlike the existing methods which impose more and more constraints on the generator, our method facilitates the shape deformation and enhances the fine details with a greatly simplified framework. We show that the proposed method outperforms the existing state-of-the-art models in various challenging applications including selfie-to-anime, male-to-female and glasses removal.

Author

Shao, Xuning; Zhang, Weidong

Published

2021

Language

EN