Systems and Methods for Artificial Intelligence (AI)-Driven 2D-to-3D Video Stream Conversion

A computer-implemented method comprising:

• obtaining an input video stream;
• determining to select one out of every N consecutive video frames in the video feed, N being an integer that is greater than 2;
• selecting the one out of every N consecutive video frames;
• and
• generating a three-dimensional (3D) model corresponding to the input video stream based at least on the selected one out of every N consecutive video frames.

A system comprising:

• one or more computers;
• and
• one or more storage devices communicatively coupled to the one or more computers, wherein the one or more storage devices store instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising:
• obtaining an input video stream;
• determining to select one out of every N consecutive video frames in the video feed, N being an integer that is greater than 2;
• selecting the one out of every N consecutive video frames;
• and
• generating a three-dimensional (3D) model corresponding to the input video stream based at least on the selected one out of every N consecutive video frames.

A non-transitory computer-readable media storing instructions that, when executed by one or more computer processors, cause the one or more computer processors to perform operations comprising:

• obtaining an input video stream;
• determining to select one out of every N consecutive video frames in the video feed, N being an integer that is greater than 2;
• selecting the one out of every N consecutive video frames;
• and
• generating a three-dimensional (3D) model corresponding to the input video stream based at least on the selected one out of every N consecutive video frame.