Patent ID: 11861762
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. A method comprising:
determining, by at least one processor and from a semantic label map corresponding to a synthesized digital image, one or more classes associated with one or more objects of the synthesized digital image;
selecting, by the at least one processor, one or more class-specific generator neural networks corresponding to the one or more classes;
cropping the synthesized digital image to one or more bounding boxes corresponding to the one or more objects;
cropping a semantic label map associated with the synthesized digital image to one or more regions corresponding to the one or more objects; and
generating, by the at least one processor, a modified synthesized digital image by:
generating, utilizing the one or more bounding boxes and the one or more regions, one or more synthesized objects utilizing the one or more class-specific generator neural networks; and
inserting, by the at least one processor, the one or more synthesized objects into the synthesized digital image.