Conditional Text To Image Synthesis

Conditional Text-to-Image Synthesis is a significant task in the field of computer vision, aiming to guide the text-to-image generation process by introducing additional conditions, similar to the ControlNet paradigm. The goal of this task is to generate high-quality images that meet the given textual description and additional conditions, thereby enhancing the controllability and accuracy of the generated images. Its application value lies in fulfilling specific image generation needs in scenarios such as artistic creation, virtual reality, and advertising design.