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Sony patents method to generate images using AI math

Sony describes a system that uses a type of AI model called a variational autoencoder to create new data, such as face images. The system adjusts the internal mathematical representation of the data to ensure the generated output matches specific characteristics or attributes.

Why it mattersThis filing focuses on improving how AI models create synthetic data, which could help developers generate more accurate training sets for other software.

In the filing’s own words

The present technology relates to an information processing apparatus, a data generation method, and a program capable of efficiently generating a large number of data. A latent variable is converted on the basis of a normal vector orthogonal to a division plane that divides a latent space of the latent variable based on a probability distribution generated by a decoder of a variational autoencoder (VAE) that outputs output data by an attribute value of a predetermined attribute of input data input to an encoder of the VAE. The decoder generates the output data on the basis of a converted latent variable that is the latent variable after the conversion. The present technology can be applied to, for example, a data generation device that generates data such as a face image.

What exactly they claim (claim 1)

1. An information processing apparatus comprising a control unit that converts a latent variable on a basis of a normal vector orthogonal to a division plane that divides a latent space of the latent variable based on a probability distribution generated by a decoder of a variational autoencoder (VAE) that outputs output data by an attribute value of a predetermined attribute of input data input to an encoder of the VAE, and causes the decoder to generate the output data on a basis of a converted latent variable that is the latent variable after the conversion.

Facts

Company
Sony (Sony Semiconductor Solutions Corporation)
Official title
INFORMATION PROCESSING APPARATUS, DATA GENERATION METHOD, AND PROGRAM
Publication number
US20260279014A1
Application number
19166052
Filed
Mar 1, 2024
Published
Sep 17, 2026
Inventors
2
Claims
18

Classified under

G06V 10/766 Physics & computingG06V 10/26 Physics & computingG06V 40/161 Physics & computingG06V 40/168 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.