User-selected viewpoint rendering of a virtual meeting

A system comprising:

• a memory device;
• and
• a processing device coupled to the memory device, the processing device to perform operations comprising:
• obtaining first image data generated by a first client device at a particular location during a virtual meeting and second image data generated by a second client device at the particular location during the virtual meeting, wherein the first image data depicts one or more objects captured from a first vantage point of the particular location and the second image data depicts the one or more objects captured from a second vantage point of the particular location;
• receiving a request from a third client device for third image data depicting the one or more objects captured from a third vantage point, wherein the first vantage point and the second vantage point surround the third vantage point;
• determining whether the third image data depicting the one or more objects from the third vantage point is to be generated;
• responsive to determining that the third image data is to be generated:
• providing the first image data, the second image data, and an indication of the third vantage point as input to a machine learning model, wherein the machine learning model is trained to predict characteristics of an image depicting objects captured from a particular vantage point based on characteristics of given image data corresponding to two or more different vantage points;
• and
• extracting, from one or more outputs of the machine learning model, characteristics of the image depicting the one or more objects corresponding to the third vantage point;
• generating the third image data depicting the one or more objects corresponding to the third vantage point based on the obtained extracted characteristics;
• and
• providing a rendering of the third image data for presentation via a graphical user interface (GUI) of the third client device during the virtual meeting in accordance with the request.

A non-transitory computer readable storage medium comprising instructions for a server that, when executed by a processing device, cause the processing device to perform operations comprising:

• obtaining first image data generated by a first client device at a particular location during a virtual meeting and second image data generated by a second client device at the particular location during the virtual meeting, wherein the first image data depicts one or more objects captured from a first vantage point of the particular location and the second image data depicts the one or more objects captured from a second vantage point of the particular location;
• receiving a request from a third client device for third image data depicting the one or more objects captured from a third vantage point, wherein the first vantage point and the second vantage point surround the third vantage point;
• determining whether the third image data depicting the one or more objects from the third vantage point is to be generated;
• responsive to determining that the third image data is to be generated:
• providing the first image data, the second image data, and an indication of the third vantage point as input machine learning model, wherein the machine learning model is trained to predict characteristics of an image depicting objects captured from a particular vantage point based on characteristics of given image data corresponding to two or more different vantage points;
• and
• extracting, from one or more outputs of the machine learning model, characteristics of the image depicting the one or more objects corresponding to the third vantage point;
• generating the third image data depicting the one or more objects corresponding to the third vantage point based on the extracted characteristics;
• and
• providing a rendering of the third image data for presentation via a graphical user interface (GUI) of the third client device during the virtual meeting in accordance with the request.