Generative adversarial networks with attentional multimodal for human face synthesis
Sowmya BJ,
Meeradevi Meeradevi,
Seems Shedole
Abstract:<p><span>Face synthesis and editing has increased cumulative consideration by the improvement of generative adversarial networks (GANs). The proposed attentional GAN-deep attentional multimodal similarity modal (AttnGAN-DAMSM) model focus on generating high-resolution images by removing discriminator components and generating realistic images from textual description. The attention model creates the attention map on the image and automatically retrieves the features to produce various sub-areas of … Show more
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