Image generation method, apparatus, electronic device, and storage medium

An electronic device, comprising:

• one or more processors;
• and
• a storage apparatus configured to store one or more programs, wherein
• the one or more programs, when executed by the one or more processors, cause the one or more processors to implement an image generation method comprising:
• determining three-dimensional representations of preset areas in a target object according to a noise vector, wherein the three-dimensional representations are used to represent features of points in a space, and the preset areas have different size percentages in the target object;
• determining a three-dimensional mesh model in a target posture according to posture control parameters of the preset areas;
• sampling corresponding areas in the three-dimensional mesh model respectively according to camera poses for the preset areas, to obtain sampling points corresponding to the preset areas;
• determining target features corresponding to the sampling points according to the three-dimensional representations of the preset areas;
• and
• rendering the preset areas according to the target features, to generate target images, wherein the target images contain the target object in the target posture.

A non-transitory storage medium containing computer-executable instructions, wherein the computer-executable instructions, when executed by a computer processor, are used to perform an image generation method comprising:

• determining three-dimensional representations of preset areas in a target object according to a noise vector, wherein the three-dimensional representations are used to represent features of points in a space, and the preset areas have different size percentages in the target object;
• determining a three-dimensional mesh model in a target posture according to posture control parameters of the preset areas;
• sampling corresponding areas in the three-dimensional mesh model respectively according to camera poses for the preset areas, to obtain sampling points corresponding to the preset areas;
• determining target features corresponding to the sampling points according to the three-dimensional representations of the preset areas;
• and
• rendering the preset areas according to the target features, to generate target images, wherein the target images contain the target object in the target posture.