Method, electronic device, and computer program product for processing an image

An electronic device, comprising:

• at least one processor;
• and
• a memory coupled to the at least one processor and having instructions stored thereon, wherein the instructions, when executed by the at least one processor, cause the electronic device to execute actions comprising:
• acquiring an image about an augmented reality scene;
• determining a target image part corresponding to a target object from the image;
• using a machine learning model to augment information about the target object in the target image part to obtain an augmented target image part;
• and
• displaying the augmented target image part;
• wherein the machine learning model is configured to generate a complete image of a given object based on a partial image of the given object;
• wherein the target image part comprises an unobscured part of an obscured image of the target object, the obscured image of the target object further comprising an obscured part that is obscured by at least a portion of an image of an additional object different than the target object;
• and
• wherein using a machine learning model to augment information about the target object in the target image part comprises:
• extracting the unobscured part of the target image part of the image;
• and
• inputting the unobscured part of the target image part to the machine learning model to obtain a complete unobscured image of the target object as the augmented target image part.

A computer program product tangibly stored on a non-transitory computer-readable medium and comprising machine-executable instructions, wherein the machine-executable instructions, when executed by a machine, cause the machine to execute steps of a method for processing an image, comprising:

• acquiring an image about an augmented reality scene;
• determining a target image part corresponding to a target object from the image;
• using a machine learning model to augment information about the target object in the target image part to obtain an augmented target image part;
• and
• displaying the augmented target image part;
• wherein the machine learning model is configured to generate a complete image of a given object based on a partial image of the given object;
• wherein the target image part comprises an unobscured part of an obscured image of the target object, the obscured image of the target object further comprising an obscured part that is obscured by at least a portion of an image of an additional object different than the target object;
• and
• wherein using a machine learning model to augment information about the target object in the target image part comprises:
• extracting the unobscured part of the target image part of the image;
• and
• inputting the unobscured part of the target image part to the machine learning model to obtain a complete unobscured image of the target object as the augmented target image part.