公开(公告)号：US20230267652A1

公开(公告)日：2023-08-24

申请号：US17652390

申请日：2022-02-24

Applicant: Adobe Inc.

Inventor： Marian Lupascu ,  Ryan Murdock ,  Ionut Mironica ,  Yijun Li

IPC: G06T11/00 ,  G06T3/40

CPC classification number: G06T11/00 ,  G06T3/4046 ,  G06T3/4053 ,  G06T2210/36 ,  G06T2210/22

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that utilize an iterative neural network framework for generating artistic visual content. For instance, in one or more embodiments, the disclosed systems receive style parameters in the form a style image and/or a text prompt. In some cases, the disclosed systems further receive a content image having content to include in the artistic visual content. Accordingly, in one or more embodiments, the disclosed systems utilize a neural network to generate the artistic visual content by iteratively generating an image, comparing the image to the style parameters, and updating parameters for generating the next image based on the comparison. In some instances, the disclosed systems incorporate a superzoom network into the neural network for increasing the resolution of the final image and adding art details that are associated with a physical art medium (e.g., brush strokes).