SAM-GAN: Self-Attention supporting Multi-stage Generative Adversarial Networks for text-to-image synthesis

no code implementations • Neural Networks 2021 • Dunlu Peng ∗, Wuchen Yang, Cong Liu, Shuairui Lü

With the self-attention mechanism, the model can establish the multi-level dependence of the image and fuse the sentence- and word-level visual-semantic vectors, to improve the quality of the generated image.

Image Generation Semantic Similarity +2