624 citations · 997 across the 11 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CV2017★ 158 cited
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang +4
In this paper, we propose an Attentional Generative Adversarial Network (AttnGAN) that allows attention-driven, multi-stage refinement for fine-grained text-to-image generation. Wi…
cs.CV2017
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang, Tao Xu, Hongsheng Li +4
Although Generative Adversarial Networks (GANs) have shown remarkable success in various tasks, they still face challenges in generating high quality images. In this paper, we prop…
cs.CV2017★ 624 cited
SegAN: Adversarial Network with Multi-scale Loss for Medical Image Segmentation
Yuan Xue, Tao Xu, Han Zhang +2
Inspired by classic generative adversarial networks (GAN), we propose a novel end-to-end adversarial neural network, called SegAN, for the task of medical image segmentation. Since…