8 citations · 13 across the 6 of their papers we have counts for
4 papers · 1 filter
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation
Jianxin Lin, Yingce Xia, Sen Liu +2
Image-to-image translation models have shown remarkable ability on transferring images among different domains. Most of existing work follows the setting that the source domain and…
Learning to Transfer: Unsupervised Meta Domain Translation
Jianxin Lin, Yijun Wang, Tianyu He +1
Unsupervised domain translation has recently achieved impressive performance with Generative Adversarial Network (GAN) and sufficient (unpaired) training data. However, existing do…
Image-to-Image Translation with Multi-Path Consistency Regularization
Jianxin Lin, Yingce Xia, Yijun Wang +2
Image translation across different domains has attracted much attention in both machine learning and computer vision communities. Taking the translation from source domain $\mathca…
Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation
Jianxin Lin, Zhibo Chen, Yingce Xia +3
Image-to-image translation tasks have been widely investigated with Generative Adversarial Networks (GANs). However, existing approaches are mostly designed in an unsupervised mann…