公开(公告)号：US20250095227A1

公开(公告)日：2025-03-20

申请号：US18886452

申请日：2024-09-16

Applicant: ADOBE INC.

Inventor： Adrian-Stefan Ungureanu-Contes ,  Marian Lupascu ,  Vlad-Constantin Lungu-Stan ,  Ionuţ Mironica ,  Vineet Batra

IPC: G06T11/00 ,  G06T3/4053

Abstract: A method, apparatus, non-transitory computer readable medium, and system for training a text-guided vector image synthesis include obtaining training data including a vectorizable image and a caption describing the vectorizable image and generating, using an image generation model, a predicted image with a first level of high frequency detail. Then, the training data and the predicted image are used to tune the image generation model to generate a synthetic vectorizable image based on the caption, where the synthetic vectorizable image has a second level of high frequency detail that is lower than the first level of high frequency detail of the predicted image.

公开(公告)号：US20250095226A1

公开(公告)日：2025-03-20

申请号：US18884787

申请日：2024-09-13

Applicant: ADOBE INC.

Inventor： Adrian-Stefan Ungureanu-Contes ,  Marian Lupascu ,  Vlad-Constantin Lungu-Stan ,  Ionut Mironicä ,  Vineet Batra

IPC: G06T11/00 ,  G06F3/04847

Abstract: A method, apparatus, non-transitory computer readable medium, and system for generating images with an adjustable level of complexity includes obtaining a content prompt, a style prompt, and a complexity value. The content prompt describes an image element, the style prompt indicates an image style, and the complexity value indicates a level of influence of the style prompt. Embodiments then generate, using an image generation model, an output image based on the content prompt, the style prompt, and the complexity value, wherein the output image includes the image element with a level of the image style based on the complexity value.