Method and system for generating 3D image of character
A method and a system for generating a 3D image of a character through steps of: receiving an identifier of a template and a two-dimensional (2D) image of the character generated based on the template corresponding to a type of the character; acquiring template information of the template from a template library by using the identifier, and extracting an effective parameter for machine learning to be performed to generate the 3D image based on the template information and the 2D image; and generating the 3D image of the character by performing the machine learning based on the effective parameter and the template information are provided.
1. A method for generating a three-dimensional (3D) image of a character, the method comprising:
receiving a two-dimensional (2D) image of the character generated based on a template;
performing analysis related to body parts of the character based on template information of the template and analyzing effective parameters on the 2D image for machine learning to be performed to generate the 3D image; and
generating the 3D image of the character by performing the machine learning based on a result of the analysis related to the body parts and a result of the analyzing of the effective parameters.
2. The method of claim 1 , wherein the template information includes a gender of the character or an age of the character, and the 2D image represents a character of the age having the gender.
3. The method of claim 2 , wherein the template information further includes style information of the character, and
wherein generating the 3D image of the character by performing the machine learning based on a result of the analysis related to the body parts and a result of the analyzing of the effective parameters includes
performing the machine learning by using an inference engine that transforms a 3D image according to the style information.
4. The method of claim 1 , wherein the template represents a silhouette, and the 2D image is an image of the character produced based on the silhouette.
5. The method of claim 4 , wherein the effective parameters include a plurality of template images mapped to the body parts.
6. The method of claim 5 , further comprising
determining a correlation between the template and the body parts of the character based on the 2D image,
wherein the generating the 3D image of the character by performing the machine learning based on a result of the analysis related to the body parts and a result of the analyzing of the effective parameters includes
performing the machine learning to synthesize the plurality of template images by using the correlation.
7. A system for generating a three-dimensional (3D) image of a character, the system comprising:
a template library configured to store a plurality of templates representing a silhouette of the character;
a pre-processing unit configured to receive a two-dimensional (2D) image of the character generated based on a template of the plurality of templates, wherein the pre-processing unit includes a first analyzer configured to perform analysis related to body parts of the character based on template information of the template and a second analyzer configured to analyze effective parameters on the 2D image for machine learning to be performed to generate the 3D image; and
a modeling processor configured to generate the 3D image of the character by performing the machine learning based on a result of the analysis related to the body parts and a result of the analyzing of the effective parameters.
8. The system of claim 7 , wherein the template information includes a gender of the character or an age of the character, and the 2D image represents a character of the age having the gender.
9. The system of claim 8 , wherein
the template information further includes style information of the character, and
wherein the modeling processor further configured to perform the machine learning by using an inference engine that transforms the 3D image according to the style information.
10. The system of claim 7 , wherein the 2D image is an image of the character produced based on the silhouette.
11. The system of claim 10 , wherein the effective parameters include a plurality of template images mapped to the body parts.
12. The system of claim 11 , wherein the pre-processing unit further configured to determine a correlation between the template and the body parts of the character based on the 2D image,
wherein the modeling processor further configured to perform the machine learning to synthesize the plurality of template images by using the correlation.
13. An apparatus for pre-processing image information of a character, the apparatus comprising:
a processor, a memory, and a transmission/reception interface, wherein the processor executes a program stored in the memory to perform:
receiving a two-dimensional (2D) image of the character generated on the basis of a template through the transmission/reception interface;
performing analysis related to body parts of the character based on template information of the template and analyzing effective parameters on the 2D image for machine learning to be performed to generate a three-dimensional (3D) image; and
structuralizing a result of the analysis related to the body parts and a result of the analyzing of the effective parameters into a data structure and transmitting the data structure to a modeling processor performing the machine learning through the transmission/reception interface.
14. The apparatus of claim 13 , wherein
the processor executes the program to further perform
determining a correlation between the template and the body parts of the character based on the 2D image, and
the processor, when structuralizing the result of the analysis related to the body parts and the result of the analyzing of the effective parameters into the data structure and transmitting the data structure to the modeling processor performing the machine learning through the transmission/reception interface, performs
structuralizing the correlation into the data structure along with the result of the analysis related to the body parts and the result of the analyzing of the effective parameters.
15. The apparatus of claim 13 , wherein the template information includes style information of the character, the data structure includes instruction information regarding an inference neural network of the modeling processor, and the instruction information indicates an inference neural network corresponding to body parts of the character to the modeling processor.
16. The apparatus of claim 13 , wherein the template information includes style information of the character, the data structure includes instruction information regarding an inference neural network of the modeling processor, and the instruction information indicates an inference neural network corresponding to the style information to the modeling processor.