activity
20202023
most citedDTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation

3 citations · 5 across the 4 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.CV2023

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…