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SemGAN: Text to Image Synthesis from Text Semantics using Attentional Generative Adversarial Networks
We use the Caltech birds dataset to run experiments on both models and validate the effectiveness of our proposal. Our model boosts the original AttnGAN Inception score by +4.13% and the Fréchet Inception Distance score by +13.93%.
Ammar Khairi, Ruba Mutasim, Hiba Imam
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SemGAN: Text to Image Synthesis from Text Semantics using Attentional Generative Adversarial Networks
Modeling, Visualization, and Analysis of African Innovation Performance
In this paper we discuss the concepts and emergence of Innovation Performance, and how to quantify it, primarily working with data from …
Muhammad Omer, Moayad El-Amin, Ammar Khairi, Rami Ahmed
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Modeling, Visualization, and Analysis of African Innovation Performance