Methods and systems for generating super resolution images

An apparatus for generating a super resolution image of an object, comprising:

• a processor and a computer-readable medium storing instructions that are operable, when executed by the processor, to cause the processor to perform the following:
• receive a plurality of frames of a video of the object;
• extract from the plurality of frames a plurality of images of the object;
• select an image of the plurality of images as a target image;
• apply a trained model to the plurality of images to generate a super resolution image of the object, wherein the trained model comprises:
• (a) a correspondence estimation neural network configured to compute a respective optical flow between the target image and each other image of the plurality, and trained for the object type of the object, and
• (b) a reconstruction neural network configured to generate a super resolution version of the target image using the plurality of images and the respective optical flows between the target image and each other image of the plurality.

A computer-readable medium storing a computer program which, when executed by a processor, causes the processor to generate a super resolution image of an object:

• receiving a plurality of frames of a video of the object;
• extracting from the plurality of frames a plurality of images of the object;
• selecting an image of the plurality of images as a target image;
• applying a trained model to the plurality of images to generate a super resolution image of the object, wherein the trained model comprises:
• (a) a correspondence estimation neural network configured to compute a respective optical flow between the target image and each other image of the plurality, and trained for the object type of the object, and
• (b) a reconstruction neural network configured to generate a super resolution version of the target image using the plurality of images and the respective optical flows between the target image and each other image of the plurality.