Snap inc. (20240355065). DYNAMIC MODEL ADAPTATION CUSTOMIZED FOR INDIVIDUAL USERS simplified abstract
Contents
- 1 DYNAMIC MODEL ADAPTATION CUSTOMIZED FOR INDIVIDUAL USERS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DYNAMIC MODEL ADAPTATION CUSTOMIZED FOR INDIVIDUAL USERS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
DYNAMIC MODEL ADAPTATION CUSTOMIZED FOR INDIVIDUAL USERS
Organization Name
Inventor(s)
William Miles Miller of San Francisco CA (US)
Daria Skrypnyk of Los Angeles CA (US)
Matthew Hallberg of Los Angeles CA (US)
DYNAMIC MODEL ADAPTATION CUSTOMIZED FOR INDIVIDUAL USERS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240355065 titled 'DYNAMIC MODEL ADAPTATION CUSTOMIZED FOR INDIVIDUAL USERS
Simplified Explanation
The system described in the patent application dynamically applies model adaptations customized for individual users by detecting an image of a real-world object, detecting landmarks on the object, and generating a custom image template for the object using a generative machine learning model. Content augmentation is then applied to the camera feed based on this custom image template.
- Detects image of a real-world object
- Identifies landmarks on the object
- Generates a custom image template using a machine learning model
- Applies content augmentation to the camera feed based on the custom image template
Key Features and Innovation
- Customized model adaptations for individual users
- Use of generative machine learning model to create custom image templates
- Application of content augmentation based on the custom image template
Potential Applications
This technology could be used in:
- Augmented reality applications
- Personalized content creation
- Virtual fitting rooms
Problems Solved
- Personalizing content for individual users
- Enhancing user experience with augmented reality
- Improving virtual try-on experiences
Benefits
- Enhanced user engagement
- Improved personalization
- More immersive augmented reality experiences
Commercial Applications
- Retail industry for virtual try-on experiences
- Entertainment industry for personalized content creation
- Marketing industry for interactive advertising campaigns
Questions about the Technology
How does this technology improve user experience with augmented reality?
This technology enhances user experience by customizing content based on individual users' preferences, making the augmented reality experience more engaging and immersive.
What are the potential applications of this technology beyond personalized content creation?
This technology could also be used in virtual fitting rooms, augmented reality games, and interactive advertising campaigns, among other applications.
Original Abstract Submitted
described is a system for dynamically applying model adaptations customized for individual users by detecting an image of a first real-world object from a camera feed, detecting landmarks on the first real-world object, and processing the landmarks on the first real-world object using a generative machine learning model to generate a first custom image template for the first real-world object where portions of the first custom image template are populated with visual content placed based on the first custom image template. the system then applies a content augmentation based on the first custom image template to the camera feed.
