System and method for dynamic neural face morphing

A method, performed on a computer, for morphing an input image depicting a face of one of a plurality of N input identities to an output image depicting a face that is a blend of characteristics of a blending subset of the plurality of N input entities, the method comprising:

• training a face-morphing model comprising:
• a shared set of trainable neural-network parameters that are shared between the plurality of N input identities;
• and
• for each of the plurality of N input entities, an identity-specific set of trainable neural-network parameters;
• to thereby obtain a trained face-morphing model comprising:
• a shared set of trained neural-network parameters that are shared between the plurality of N input identities;
• and
• for each of the plurality of N input entities, an identity-specific set of trained neural-network parameters;
• receiving an input image depicting a face of one of the plurality of N input identities;
• receiving a set of interpolation parameters;
• combining the identity-specific sets of trained neural-network parameters for the blending subset of the plurality of N input identities based on the interpolation parameters, to thereby obtain a blended set of neural-network parameters;
• inferring an output image depicting a face that is a blend of characteristics of the blending subset of the N input entities using the shared set of trained neural-network parameters, the blended set of neural-network parameters and the input image.