2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2022
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…
cs.CV2022★ 2 cited
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…