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- W4224143886 abstract "Synthesis of high-resolution images for the input textual descriptions is a prominent field of research that needs to be looked into, in this world of computer vision and animations. The task of image generation has its own challenges such as, working on the main object and background elements simultaneously, considering the ambiguity of natural language and reducing the noise that may be collected along with the input. It is also equally important to determine the importance of words given in the input textual description and ranking them according to their degree of relevance to desired image. Generative Adversarial Networks (GANs) are one of the newest developments for synthesis of images from text. In our literature review article, we have provided a consolidated idea of GAN s and how their variants are helpful in producing high resolution images." @default.
- W4224143886 created "2022-04-20" @default.
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- W4224143886 date "2022-01-28" @default.
- W4224143886 modified "2023-09-24" @default.
- W4224143886 title "Text-To-Image Synthesis Using Modified GANs" @default.
- W4224143886 doi "https://doi.org/10.1109/accai53970.2022.9752641" @default.
- W4224143886 hasPublicationYear "2022" @default.
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