Implementing automatic layer decomposition

A system of implementing automatic layer decomposition, comprising:

• at least one processor;
• and
• at least one memory communicatively coupled to the at least one processor and comprising computer-readable instructions that upon execution by the at least one processor cause the at least one processor to perform operations comprising:
• receiving an image comprising a plurality of objects;
• generating object detection results based on detecting the plurality of objects in the image, the object detection results comprising an object detection result corresponding to each of the plurality of objects;
• generating textual descriptions of the image, the textual descriptions comprising a textual description corresponding to each of the plurality of objects;
• associating the object detection result with the textual description corresponding to each of the plurality of objects;
• generating depth estimation results by predicting a depth map of the image, the depth estimation results comprising a depth estimation result corresponding to each of the plurality of objects;
• and
• merging the plurality of objects into layers based on the object detection result, the textual description, and the depth estimation result corresponding to each of the plurality of objects.

A non-transitory computer-readable storage medium, storing computer-readable instructions that upon execution by a processor cause the processor to implement operations comprising:

• receiving an image comprising a plurality of objects;
• generating object detection results based on detecting the plurality of objects in the image, the object detection results comprising an object detection result corresponding to each of the plurality of objects;
• generating textual descriptions of the image, the textual descriptions comprising a textual description corresponding to each of the plurality of objects;
• associating the object detection result with the textual description corresponding to each of the plurality of objects;
• generating depth estimation results by predicting a depth map of the image, the depth estimation results comprising a depth estimation result corresponding to each of the plurality of objects;
• and
• merging the plurality of objects into layers based on the object detection result, the textual description, and the depth estimation result corresponding to each of the plurality of objects.