DeepAI
Log In Sign Up

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

04/08/2017
by   Zili Yi, et al.
0

Conditional Generative Adversarial Networks (GANs) for cross-domain image-to-image translation have made much progress recently. Depending on the task complexity, thousands to millions of labeled image pairs are needed to train a conditional GAN. However, human labeling is expensive, even impractical, and large quantities of data may not always be available. Inspired by dual learning from natural language translation, we develop a novel dual-GAN mechanism, which enables image translators to be trained from two sets of unlabeled images from two domains. In our architecture, the primal GAN learns to translate images from domain U to those in domain V, while the dual GAN learns to invert the task. The closed loop made by the primal and dual tasks allows images from either domain to be translated and then reconstructed. Hence a loss function that accounts for the reconstruction error of images can be used to train the translators. Experiments on multiple image translation tasks with unlabeled data show considerable performance gain of DualGAN over a single GAN. For some tasks, DualGAN can even achieve comparable or slightly better results than conditional GAN trained on fully labeled data.

READ FULL TEXT

page 3

page 4

page 5

page 6

page 7

page 8

03/10/2020

LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images

The intelligent perception of endoscopic vision is appealing in many com...
01/10/2017

Unsupervised Image-to-Image Translation with Generative Adversarial Networks

It's useful to automatically transform an image from its original form t...
12/06/2019

Exploring Unlabeled Faces for Novel Attribute Discovery

Despite remarkable success in unpaired image-to-image translation, exist...
06/01/2019

Learning to Transfer: Unsupervised Meta Domain Translation

Unsupervised domain translation has recently achieved impressive perform...
03/28/2018

Image Generation and Translation with Disentangled Representations

Generative models have made significant progress in the tasks of modelin...
02/01/2021

toon2real: Translating Cartoon Images to Realistic Images

In terms of Image-to-image translation, Generative Adversarial Networks ...