Style try-on with reverse GANs

A computing device comprising a processor and a storage device storing computer-readable instructions that, when executed by the processor, cause the computing device to:

• transfer a hairstyle via an artificial intelligence (AI) network framework comprising a generative adversarial network (GAN) generator that generates a synthesized image (IG) comprising transferred hair attributes from reference images to an identity from a face of a first image (I1), the hair attributes comprising i) hair shape and structure, ii) a hair appearance and iii) a hair finer style;
• wherein the network framework is configured to optimize a latent space to disentangle the hair attributes i) hair shape and structure from ii) hair appearance and iii) hair finer style;
• and
• wherein the GAN generator is trained using two-stage optimization and gradient orthogonalization to enable the latent space optimization to disentangle the hair attributes.

A computing device comprising circuitry that, when operated, causes the computing device to:

• provide a network framework to perform a virtual hairstyle try-on relative to an identity image and a plurality of reference images representing different hairstyle attributes to simulate a hairstyle on an identity, the network framework configured to perform an optimization that disentangles the different hairstyle attributes to provide realistic synthesized hair when incorporating the identity and hairstyle into a synthesized image representing the virtual hairstyle try-on;
• and
• provide the synthesized image for presentation;
• wherein the network framework is trained using two-stage optimization and gradient orthogonalization to enable the latent space optimization to disentangle the hair attributes.