Text-to-pattern generation

Abstract

A method, apparatus, non-transitory computer readable medium, and system for image generation include obtaining an input prompt comprising a pattern element and a target level of an image attribute. A guidance feature representing the pattern element is generated, using a prior model, based on the input prompt and the target level of the image attribute. The prior model is trained using reinforcement learning to generate guidance features for pattern image generation based on the target level of the image attribute. An image generation model generates a synthesized image based on the guidance feature. The synthesized image includes a set of versions of the pattern element with the target level of the image attribute.

Dependencies are inferred from the claim text.