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T2CI GAN: A Deep Learning Model that Generates Compressed Images from Text

T2CI GAN: A deep learning model that generates compressed images from text
The significance of applying the simple transformation on JPEG Compressed DCT images. Credit: Rajesh et al.

Generative adversarial networks (GANs), a class of machine learning frameworks that can generate new texts, images, videos, and voice recordings, have been found to be highly valuable for tackling numerous real-world problems. For instance, GANs have been successfully used to generate image datasets to train other deep learning algorithms, to generate videos or animations for specific uses, and to create suitable captions for images.

Researchers at the Computer Vision and Biometrics Lab of IIT Allahabad and Vignan University in India have recently developed a new GAN-based model that can generate compressed images from text-based descriptions...

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