Controllable Text-to-Image Generation

Also, a word-level discriminator is proposed to providefine-grained supervisory feedback bycorrelating wordswithimageregions, facilitating training an effective generator which is able to manipulate specific visual attributes without affecting the generation of other content. Furthermore, perceptual loss is adopted to reduce the randomness involved in the image generation, andtoencourage thegenerator tomanipulate specific attributesrequired inthemodified text.