Image generation using surface-based neural synthesis

A system for neural image analysis, comprising:

• at least processor programmed to perform operations comprising:
• generating a two-dimensional (2D) continuous surface representation of a three-dimensional (3D) object from a 2D input image;
• receiving a further 2D input image, the further input image comprising a further object;
• generating a further 2D continuous surface representation of the 3D object from the further 2D input image, the further continuous surface comprising a plurality of landmark locations;
• and
• determining a first set of soft membership functions based on relative locations of points in the further 2D continuous surface representation and the landmark locations.

A non-transitory machine-readable storage medium that includes instructions that, when executed by one or more processors of a machine, cause the machine to perform operations for neural image analysis comprising:

• generating a two-dimensional (2D) continuous surface representation of a three-dimensional (3D) object from a 2D input image;
• receiving a further 2D input image, the further input image comprising a further object;
• generating a further 2D continuous surface representation of the 3D object from the further 2D input image, the further continuous surface comprising a plurality of landmark locations;
• and
• determining a first set of soft membership functions based on relative locations of points in the further 2D continuous surface representation and the landmark locations.