"AI Generates Realistic Bird Images from Text Using Common Sense and Surprising Learning Techniques"

Researchers in China have developed a new neural network called CD-GAN that generates high-quality bird images from textual descriptions using common-sense knowledge to enhance the generated image at three different levels of resolution, achieving competitive scores with other neural network methods. The network was trained with a dataset of bird images and text descriptions, with the goal of promoting the development of text-to-image synthesis. The authors believe that the introduction of common sense can greatly promote the development of text-to-image synthesis.