Text-to-image generation is a challenging and significant research task. It aims to synthesize high-quality images that match the given descriptive statements. Existing methods still have problems in generating semantic information fusion insufficiently, and the generated images cannot represent the descriptive statements properly. Therefore, A novel method named EMF-GAN(Efficient Multilayer Fusion Generative Adversarial Network) is proposed. It uses a Multilayer Fusion Module (MF Module) and Efficient Multi-Scale Attention Module (EMA Module) to fuse the semantic information into the feature ...
