Image generation method, image generation apparatus, and image generation system

An image generation method comprising:

• acquiring, by at least one processor, first latent information of a first image and second latent information of a second image, the first image including data related to a visual representation of a first object, and the second image including data related to a visual representation of a second object,
• generating, by the at least one processor, fusion latent information by using the first latent information and the second latent information, and
• generating, by the at least one processor, a fusion image by inputting the fusion latent information into a trained generative model, the fusion image including data related to a visual representation of a third object,
• wherein the generating of the fusion latent information includes generating, by the at least one processor, the fusion latent information by using randomly determined information,
• wherein the first object, the second object, and the third object are respectively a first character, a second character, and a third character, the first character, the second character, and the third character being different from each other,
• wherein the visual representation of the first object indicates an appearance of the first character, the visual representation of the second object indicates an appearance of the second character, and the visual representation of the third object indicates an appearance of the third character, and
• wherein the first latent information includes information of at least one of a hair style, a hair color, an eye color, a skin color, an expression, or an attachment of the first character, the second latent information includes information of at least one of a hair style, a hair color, an eye color, a skin color, an expression, or an attachment of the second character, and the fusion latent information includes information of at least one of a hair style, a hair color, an eye color, a skin color, an expression, or an attachment of the third character.

An image generation apparatus comprising:

• at least one memory;
• and
• at least one processor configured to:
• acquire first latent information of a first image and second latent information of a second image, the first image including data related to a visual representation of a first object, and the second image including data related to a visual representation of a second object,
• generate fusion latent information by using the first latent information and the second latent information, and
• generate a fusion image by inputting the fusion latent information into a trained generative model, the fusion image including data related to a visual representation of a third object,
• wherein the at least one processor displays, on a display device, the first image, the second image, and the fusion image in a form of a family tree,
• wherein the first object, the second object, and the third object are respectively a first character, a second character, and a third character, the first character, the second character, and the third character being different from each other,
• wherein the visual representation of the first object indicates an appearance of the first character, the visual representation of the second object indicates an appearance of the second character, and the visual representation of the third object indicates an appearance of the third character, and
• wherein the first latent information includes information of at least one of a hair style, a hair color, an eye color, a skin color, an expression, or an attachment of the first character, the second latent information includes information of at least one of a hair style, a hair color, an eye color, a skin color, an expression, or an attachment of the second character, and the fusion latent information includes information of at least one of a hair style, a hair color, an eye color, a skin color, an expression, or an attachment of the third character.

An image generation method comprising:

• acquiring, by at least one processor, first latent information of a first image and second latent information of a second image, the first image including data related to a visual representation of a first object, and the second image including data related to a visual representation of a second object,
• generating, by the at least one processor, fusion latent information by using the first latent information and the second latent information,
• generating, by the at least one processor, a fusion image by inputting the fusion latent information into a trained generative model, the fusion image including data related to a visual representation of a third object, and
• displaying, by the at least one processor, on a display device, the first image, the second image, and the fusion image in a form of a family tree,
• wherein the first object, the second object, and the third object are respectively a first character, a second character, and a third character, the first character, the second character, and the third character being different from each other,
• wherein the visual representation of the first object indicates an appearance of the first character, the visual representation of the second object indicates an appearance of the second character, and the visual representation of the third object indicates an appearance of the third character, and
• wherein the first latent information includes information of at least one of a hair style, a hair color, an eye color, a skin color, an expression, or an attachment of the first character, the second latent information includes information of at least one of a hair style, a hair color, an eye color, a skin color, an expression, or an attachment of the second character, and the fusion latent information includes information of at least one of a hair style, a hair color, an eye color, a skin color, an expression, or an attachment of the third character.