New neural network uses common sense to make fake bird images from text

In an effort to generate high-quality images based on text descriptions, a group of researchers in China built a generative adversarial network that incorporates data representing common-sense knowledge. Their method uses common sense to clarify the starting point for image generation and also uses common sense to enhance different specific features of the generated image at three different levels of resolution. The network was trained using a database of bird images and text descriptions. The generated bird images achieved competitive …

china computer sciences data database fake features generated generative generative adversarial network image image generation images knowledge network neural network quality researchers sense text