Transferring geometric and texture styles in 3d asset rendering using neural networks

A processor, comprising:

• one or more circuits to:
• segment a source three-dimensional (3D) object into one or more source components;
• segment a target 3D object into one or more target components;
• determine a source texture from the 3D object and a target texture from the target 3D object;
• determine a difference between at least one of the one or more source components and a respective at least one of the one or more target components;
• determine an output texture based at least on the source texture and the target texture;
• warp, using a neural network trained to output data corresponding to geometric style transforms, the at least one of the one or more source components based, at least in part, on the difference;
• and
• generate one or more stylized components based, at least in part, on the warped at least one of the one or more source components and the output texture.

A method, comprising:

• determining one or more output geometric features for an output object corresponding to one or more source geometric features identified from a source object modified based on one or more target geometric features identified from a target object;
• determining an output texture for the output object corresponding to a source texture of the source object modified based on a target texture of the target object;
• and
• generating the output object, based on the output one or more geometric features and the output texture.