US 2026/0301260 A1 · Generating Synthetic Data Associated with Graphical Text Stylization and Animation

Abstract

Example embodiments of the present disclosure provide an example method for managing computer systems and networks that can generate template descriptions associated with graphical text. The computer systems and networks can generate the template descriptions associated with the graphical text via a template description generation pipeline. The machine-learned models can utilize the template descriptions associated with the graphical text to generate images and/or videos with graphical text. The machine-learned models can generate the images and/or videos with the graphical text, via an instance rendering pipeline. The images and/or videos with the graphical text can then be utilized to train another machine-learned model.

Claims20

Dependent claims

A computer-implemented method, comprising:

obtaining an animation template, the animation template comprising an image comprising graphical text and a first background, wherein the graphical text comprises one or more first words rendered with a particular stylization;
generating, with a generative language model, a natural language description based on a plurality of tags that comprise data representing a plurality of attributes associated with the graphical text and the animation template;
selecting one or more second words and a second background;
generating an augmented description based on the natural language description, the one or more second words and the second background;
generating, with a rendering engine, a rendered image based on a template and the augmented description, wherein the rendered image comprises rendered text and the second background, wherein the rendered text comprises the one or more second words rendered with the particular stylization;
and
generating a training dataset comprising the augmented description and the rendered image.

4 more elements

One or more non-transitory computer readable media storing instructions that are executable by one or more processors to perform operations comprising:

obtaining an animation template and a plurality of attribute tags, wherein the animation template comprises graphical text, wherein the graphical text is rendered with a particular stylization;
generating a plurality of different descriptions, with a generative language model, based on the plurality of attribute tags, wherein each of the plurality of different descriptions comprise a placeholder associated with text contents of the animation template;
generating a natural language description based on the plurality of attribute tags;
inserting, with the generative language model, instances of a text string into the natural language description to generate an animation description;
generating, with a rendering engine, and based on a template and the animation description, a rendered image comprising the text string with the particular stylization;
and
storing the animation description and the rendered image as a training example.

4 more elements

Dependencies are inferred from the claim text.

Generating Synthetic Data Associated with Graphical Text Stylization and Animation

Life of this patent

Generating Synthetic Data Associated with Graphical Text Stylization and Animation

Life of this patent

Abstract

Claims20