Generative image synthesis for training deep learning machines

A system for generating deep learning training data, the system comprising:

• a computer system having program code stored thereon executable by the computer system to generate the deep learning training data by:
• generating a two-dimensional (2D) scene from an electronic representation of a first three-dimensional (3D) scene of a 3D occupancy grid map;
• generating first label data for one or more objects of the 2D scene;
• executing generative modelling on the 2D scene to create one or more realistic 2D scenes;
• creating multiple specialized 2D scenes from each of the one or more realistic 2D scenes, each specialized 2D scene having one or more pixels that differ from each other specialized 2D scene created from each realistic 2D scene;
• and
• generating final label data for the one or more objects in the multiple specialized 2D scenes.

A non-transitory computer-readable storage device having program code stored thereon, the program code to be executed by one or more processors of a computer system to implement a method, the program code comprising:

• program code for generating deep learning training data, wherein generating deep learning training data includes:
• generating a two-dimensional (2D) scene from an electronic representation of a first three-dimensional (3D) scene of a 3D occupancy grid map;
• generating first label data for one or more objects of the 2D scene;
• executing generative modelling on the 2D scene to create one or more realistic 2D scenes;
• creating multiple specialized 2D scenes from each of the one or more realistic 2D scenes;
• and
• generating final label data for the one or more objects in the multiple specialized 2D scenes.