US Patent Application 17804500. AUTOMATED AUGMENTED REALITY EXPERIENCE CREATION SYSTEM simplified abstract

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AUTOMATED AUGMENTED REALITY EXPERIENCE CREATION SYSTEM

Organization Name

Snap Inc.

Inventor(s)

Konstantin Gudkov of London (GB)

Andrei Zharkov of London (GB)

Vadim Velicodnii of London (GB)

Aleksei Zhuravlev of London (GB)

Sergey Demyanov of Santa Monica CA (US)

AUTOMATED AUGMENTED REALITY EXPERIENCE CREATION SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 17804500 titled 'AUTOMATED AUGMENTED REALITY EXPERIENCE CREATION SYSTEM

Simplified Explanation

This patent application describes methods and systems for creating augmented reality (AR) experiences on a messaging platform. Here are the key points:

  • The invention involves receiving input through a graphical user interface (GUI) that specifies various image transformation parameters.
  • A set of sample source images is accessed and modified based on the specified image transformation parameters to generate a set of sample target images.
  • A machine learning model is trained to generate a target image from a source image by establishing a relationship between the set of sample source images and the set of sample target images.
  • The trained machine learning model is then used to automatically generate an augmented reality experience.
  • The invention aims to simplify the process of creating AR experiences on a messaging platform by automating the image transformation and generation of AR content using machine learning.


Original Abstract Submitted

Methods and systems are disclosed for performing automatically creating AR experiences on a messaging platform. The methods and systems perform operations that include: receiving, via a graphical user interface (GUI), input that specifies a plurality of image transformation parameters; accessing a set of sample source images; modifying the set of sample source images based on the plurality of image transformation parameters to generate a set of sample target images; training a machine learning model to generate a given target image from a given source image by establishing a relationship between the set of sample source images and the set of sample target images; and automatically generating an augmented reality experience comprising the trained machine learning model.

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