In this paper, we propose a novel self-supervised deep learning based approach towards learning the cross-modal embedding spaces; for both image to text and ...
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This study addresses the field of text-to-image conversion using deep learning techniques. The problem at issue concerns producing lifelike images from written ...
Text to image synthesis is all about converting text descriptions into appropriate images. Nowadays, GAN models are widely used for better results. Also, there ...