Method, medium, and system for live preview via machine learning models

A system, comprising:

• at least one computer comprising at least one processor and at least one memory, the at least one computer configured to:
• obtain a plurality of image pairs, an image pair associated with a particular object classification and including a first image associated with a first representation of content and a second image associated with a second representation of the content appearing with one of a plurality of object representations specified by the particular object classification;
• train models on the plurality of image pairs for a plurality of object classifications;
• receive a request to view content represented in query image data with a type of object, the type of object associated with a template image that includes a representation of the type of object, the type of object associated with an object classification;
• evaluate a trained model for the object classification on the query image data to generate image adjustment data;
• apply the image adjustment data to the content to generate modified content;
• use an image transformation technique on the modified content to project the modified content to the image template;
• and
• generate a visualization of the modified content with the type of object, wherein the visualization includes an image that previews what the content looks like when the content is one of etched or engraved within at least one of a crystal object or a glass object.

One or more non-transitory, computer-readable media comprising computer executable instructions that, when executed, cause at least one processor to perform actions comprising:

• obtaining a plurality of image pairs, an image pair associated with a particular object classification and including a first image associated with a first representation of content and a second image associated with a second representation of the content appearing with one of a plurality of object representations specified by the particular object classification;
• training models on the plurality of image pairs for a plurality of object classifications;
• receiving a request to view content represented in query image data with a type of object, the type of object associated with a template image that includes a representation of the type of object, the type of object associated with an object classification;
• evaluating a trained model for the object classification on the query image data to generate image adjustment data;
• applying the image adjustment data to the content to generate modified content;
• using an image transformation technique on the modified content to project the modified content to the image template;
• and
• generating a visualization of the modified content with the type of object, wherein the visualization includes an image that previews what the content looks like when the content is one of etched or engraved within at least one of a crystal object or a glass object.