Method and electronic device for automated image conversion

A non-transitory computer-readable recording medium storing computer-readable instructions that, when executed by at least one processor, cause the at least one processor to:

• obtain a first image;
• generate, using a machine learning model associated with a plurality of domain styles for image processing, a second image by converting a domain style of at least a portion of the first image into a first domain style, wherein the machine learning model is trained to output a second training image of the first domain style associated with a first training image of a second domain style in response to receiving the first training image of the second domain style as input;
• and
• output the second image.

An electronic device comprising:

• a memory;
• and
• at least one processor coupled to the memory and configured to execute computer-readable instructions stored in the memory,
• wherein the computer-readable instructions, executed by the at least one processor, are configured to cause the electronic device to:
• obtain a first image;
• generate, using a machine learning model associated with a plurality of domain styles for image processing, a second image by converting a domain style of at least a portion of the first image into a first domain style, wherein the machine learning model is trained to output a second training image of the first domain style associated with a first training image of a second domain style in response to receiving the first training image of the second domain style as input;
• and
• output the second image.