![]() ![]() Javed and his colleagues developed two distinct GAN-based models for generating compressed images from text descriptions. Our model, on the other hand, can directly map/learn the text descriptions and produce compressed images." "The advantage here is that the conventional methods produce visual images from text descriptions, and they further subject those images to compression, to produce compressed images. "T2CI-GAN is a deep learning-based model that takes text descriptions as an input and produces visual images in the compressed form," Javed explained. In addition, most existing techniques that generate compress images approach the task of generating the image and compressing it separately, which increases their computation load and processing time. ![]() While several other research teams have used deep learning-based methods to generate images based on text descriptions, only a few of these methods produce images in their compressed form. The new model they created builds on these previous efforts to address a computational problem that has so far been rarely explored in the literature. In their past studies, Javed and his colleagues used GANs and other deep learning models to tackle numerous tasks, including the extraction of features from data, the segmentation of text and image data, spotting words in large text excerpts, and to created compressed JPEG files. "However, the idea in T2CI GAN is a bit different, as here we wanted to produce/retrieve images in the compressed form given the text descriptions of the image." "The idea of T2CI GAN is aligned with the theme of 'direct processing/analytics of data in the compressed domain without full decompression,' on which we have been working on since 2012," Mohammed Javed, one of the researchers who carried out the study, told TechXplore. This model, introduced in a paper pre-published on arXiv, could open interesting possibilities for image storage and for the sharing of content between different smart devices. 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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