277 citations · 316 across the 12 of their papers we have counts for
7 papers · 1 filter
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
Ziqiang Zheng, Yang Wu, Zhibin Yu +3
The aim of this work is learning to reshape the object in an input image to an arbitrary new shape, by just simply providing a single reference image with an object instance in the…
One-Shot Image-to-Image Translation via Part-Global Learning with a Multi-adversarial Framework
Ziqiang Zheng, Zhibin Yu, Haiyong Zheng +2
It is well known that humans can learn and recognize objects effectively from several limited image samples. However, learning from just a few images is still a tremendous challeng…
Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation
Ziqiang Zheng, Zhibin Yu, Haiyong Zheng +3
Current approaches have made great progress on image-to-image translation tasks benefiting from the success of image synthesis methods especially generative adversarial networks (G…
Instance Map based Image Synthesis with a Denoising Generative Adversarial Network
Ziqiang Zheng, Chao Wang, Zhibin Yu +2
Semantic layouts based Image synthesizing, which has benefited from the success of Generative Adversarial Network (GAN), has drawn much attention in these days. How to enhance the…
Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes
Ziqiang Zheng, Zhibin Yu, Haiyong Zheng +2
Generative Adversarial Networks are proved to be efficient on various kinds of image generation tasks. However, it is still a challenge if we want to generate images precisely. Man…
Unpaired Photo-to-Caricature Translation on Faces in the Wild
Ziqiang Zheng, Wang Chao, Zhibin Yu +3
Recently, image-to-image translation has been made much progress owing to the success of conditional Generative Adversarial Networks (cGANs). And some unpaired methods based on cyc…
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation
Chao Wang, Haiyong Zheng, Zhibin Yu +3
Image-to-image translation has been made much progress with embracing Generative Adversarial Networks (GANs). However, it's still very challenging for translation tasks that requir…