Enhancing Image Realism Through Fine Grained Text to Image Synthesis

Abstract

Abstract: We propose a more effective Deep Fusion Generative Adversarial Networks (DF- GAN) for synthesizing high-quality realistic images from text descriptions. The main challenges in this task are the entanglements between generators of different image scales, the reliance on extra networks for text-image semantic consistency, and the computational cost of cross-modal attention-based fusion. Ourproposed approach addresses these challenges as follow