3 citations · 5 across the 4 of their papers we have counts for
4 papers
Fusion-S2iGan: An Efficient and Effective Single-Stage Framework for Speech-to-Image Generation
Zhenxing Zhang, Lambert Schomaker
The goal of a speech-to-image transform is to produce a photo-realistic picture directly from a speech signal. Recently, various studies have focused on this task and have achieved…
Optimized latent-code selection for explainable conditional text-to-image GANs
Zhenxing Zhang, Lambert Schomaker
The task of text-to-image generation has achieved remarkable progress due to the advances in the conditional generative adversarial networks (GANs). However, existing conditional t…
OptGAN: Optimizing and Interpreting the Latent Space of the Conditional Text-to-Image GANs
Zhenxing Zhang, Lambert Schomaker
Text-to-image generation intends to automatically produce a photo-realistic image, conditioned on a textual description. It can be potentially employed in the field of art creation…
DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation
Zhenxing Zhang, Lambert Schomaker
Most existing text-to-image generation methods adopt a multi-stage modular architecture which has three significant problems: 1) Training multiple networks increases the run time a…