Systems and methods for constructing a three-dimensional model from two-dimensional images

A method comprising:

• receiving, by one or more processors, a plurality of data packets of a training set, each data packet of the plurality of data packets including data corresponding to one or more training images of a dental impression of a respective dental arch and a three-dimensional (3D) training model of the respective dental arch;
• identifying, by the one or more processors, for each data packet of the plurality of data packets of the training set, a plurality of correlation points between the one or more training images and the 3D training model of the respective dental arch;
• generating, by the one or more processors, a machine learning model using the one or more training images, the 3D training model, and the plurality of correlation points between the one or more training images and the 3D training model of each data packet of the plurality of data packets of the training set;
• and
• receiving, by the one or more processors, one or more images of a dental impression of a dental arch of a user;
• and
• generating, by the one or more processors, a 3D model of the dental arch of the user by applying the one or more images of the dental impression to the machine learning model.

A method comprising:

• receiving, by one or more processors, one or more images of a dental impression of a dental arch of a user;
• generating, by the one or more processors, a three-dimensional (3D) model of the dental arch of the user by applying the one or more images to a machine learning model to generate the 3D model, the machine learning model trained based on correlations between one or more training images of dental impressions of respective dental arches and three-dimensional (3D) training models of the respective dental arches;
• and
• outputting, by the one or more processors, the 3D model of the dental arch to one or more computing devices.