Agilegan-based stylization method to enlarge a style region

A system, comprising:

• at least one processor;
• memory storing instructions that, when executed by the at least one processor, causes the system to perform a set of operations, the set of operations including:
• receiving an input image;
• generating, using a first generative adversarial network (GAN) generator, a first stylized image, based on the input image;
• normalizing the input image;
• generating, using a second generative adversarial network (GAN) generator, a second stylized image, based on the normalized input image;
• blending the first stylized image and the second stylized image to obtain a third stylized image;
• and
• providing the third stylized image as an output.

A non-transient computer-readable storage medium comprising instructions being executable by one or more processors to cause the one or more processors to:

• receive an input image;
• generate, using a first generative adversarial network (GAN) generator, a first stylized image, based on the input image;
• normalize the input image;
• generate, using a second generative adversarial network (GAN) generator, a second stylized image, based on the normalized input image;
• blend the first stylized image and the second stylized image to obtain a third stylized image;
• and
• provide the third stylized image as an output.